{"id":"W3094954661","doi":"10.1167/jov.20.11.920","title":"A response reclassification procedure to reduce noise caused by guesses","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Task (project management); Noise (video); Computation; Computer science; Process (computing); Cutoff; Simple (philosophy); Pattern recognition (psychology); Artificial intelligence; Statistics; Speech recognition; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00706615,0.001999622,0.001476763,0.002218275,0.0008850514,0.001614685,0.002025408,0.001776693,0.01375657],"category_scores_gemma":[0.02928303,0.0006023027,0.00178323,0.001525571,0.00078024,0.001316721,0.00208296,0.002951619,0.00775254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005451789,"about_ca_system_score_gemma":0.001805885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850283,"about_ca_topic_score_gemma":0.003428455,"domain_scores_codex":[0.9965075,0.0005851536,0.0005977427,0.001353316,0.0007305769,0.0002256705],"domain_scores_gemma":[0.9873652,0.004564598,0.0009603372,0.003637403,0.003222664,0.0002497732],"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":[0.001787011,0.001229791,0.01111781,0.0009394038,0.0006585176,0.0002877439,0.0009701276,0.01126213,0.1472749,0.007103551,0.04082405,0.7765449],"study_design_scores_gemma":[0.000680247,0.001755975,0.05901949,0.0002950045,0.0005582777,0.001162013,0.0003960035,0.4652419,0.3408057,0.02747496,0.1020187,0.0005916977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04418359,0.000240988,0.9182579,0.0002515317,0.0003938686,0.001946227,0.004675064,0.02851457,0.001536364],"genre_scores_gemma":[0.0773726,0.00009502775,0.9018491,0.0002863559,0.0001116233,0.004753327,0.006830909,0.004255725,0.004445324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01375657,"threshold_uncertainty_score":0.04602033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246919575352346,"score_gpt":0.2680317271759389,"score_spread":0.2433397696407043,"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."}}