{"id":"W2084126787","doi":"10.1080/00273171.2011.606748","title":"Comparison of Methods for Collecting and Modeling Dissimilarity Data: Applications to Complex Sound Stimuli","year":2011,"lang":"en","type":"article","venue":"Multivariate Behavioral Research","topic":"Multisensory perception and integration","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sorting; Reliability (semiconductor); Computer science; Pattern recognition (psychology); Hierarchical database model; Data mining; Artificial intelligence; Statistics; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"observational","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":["metaresearch"],"domain":"methods","study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01664986,0.001059981,0.000867049,0.002597329,0.0004187684,0.001212534,0.002111037,0.0009693783,0.002289867],"category_scores_gemma":[0.09337267,0.0006191665,0.001291862,0.00229017,0.000903458,0.001530121,0.0020676,0.001170011,0.0005451643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006962771,"about_ca_system_score_gemma":0.001095155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002169387,"about_ca_topic_score_gemma":0.002756795,"domain_scores_codex":[0.9875237,0.007819139,0.001050035,0.001124455,0.002355619,0.0001270283],"domain_scores_gemma":[0.9140568,0.06198847,0.004016719,0.01382438,0.005479726,0.0006339663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001814477,0.0007180206,0.02633043,0.001537067,0.0009029315,0.0001511769,0.001697523,0.05854723,0.04983968,0.01195355,0.001243772,0.8452642],"study_design_scores_gemma":[0.0004659391,0.002035287,0.0776884,0.0002792136,0.0003780946,0.001310772,0.0006958708,0.8225322,0.0475892,0.0398927,0.006599991,0.0005323384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04371652,0.0001638679,0.9545267,0.000084402,0.0000245106,0.0004950069,0.0002226689,0.000459805,0.0003064662],"genre_scores_gemma":[0.09693833,0.0002030814,0.9011829,0.00002527235,0.00001647341,0.001032188,0.0003028857,0.0001556644,0.0001431531],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01664986,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9508423595852682,"score_gpt":0.7395595268481697,"score_spread":0.2112828327370985,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}