{"id":"W4236592366","doi":"10.1121/1.2719045.2","title":"10.1121/1.2719045.2","year":2007,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001156688,0.003683459,0.002485149,0.003213378,0.001561436,0.005247297,0.005872811,0.004519966,0.6984024],"category_scores_gemma":[0.002718816,0.001711751,0.001333005,0.005757091,0.0007151824,0.002549002,0.003790318,0.002822732,0.8622288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332318,"about_ca_system_score_gemma":0.001276797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008225277,"about_ca_topic_score_gemma":0.008865098,"domain_scores_codex":[0.9990426,0.00009249673,0.0000861253,0.0003714503,0.0002023015,0.0002050252],"domain_scores_gemma":[0.9991936,0.0001567011,0.00006156333,0.0002716245,0.0001342427,0.0001822107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001395764,0.00008280069,0.0009637259,0.0004944758,0.0000336591,0.00003151367,0.00002514639,0.0005279684,0.0006269721,0.0003846472,0.9758886,0.02080105],"study_design_scores_gemma":[0.0002016046,0.0000221249,0.003579779,0.0001913719,0.00002665734,0.00008401653,0.00006289517,0.001209297,0.0004018339,0.001223744,0.9929693,0.00002736019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003906276,0.0002070545,0.0007879768,0.0003716483,0.0002014585,0.00004636891,0.9827521,0.005305345,0.009937411],"genre_scores_gemma":[0.0007561208,0.0001849095,0.0006981086,0.00009527178,0.00001819987,0.0001289595,0.9891275,0.000426731,0.008564152],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3015976,"threshold_uncertainty_score":0.4301924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398128576144621,"score_gpt":0.2722595510994116,"score_spread":0.2582782653379654,"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."}}