{"id":"W4249335646","doi":"10.1037/e309392004-011","title":"Minutes of Executive Committee Meeting: 11/8/03 Vancouver","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Executive committee; Executive summary; Political science; Management; Business; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00298835,0.002160988,0.002623151,0.001914037,0.001616603,0.003801306,0.001790728,0.001314788,0.1219301],"category_scores_gemma":[0.004310501,0.0007729488,0.001161913,0.001828058,0.0006020364,0.001572138,0.001802714,0.002057761,0.2419562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614551,"about_ca_system_score_gemma":0.002389403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03590781,"about_ca_topic_score_gemma":0.09657267,"domain_scores_codex":[0.9987133,0.0001819903,0.00005856815,0.00036337,0.0004938251,0.0001889576],"domain_scores_gemma":[0.9963207,0.0003898978,0.00006011829,0.0006749821,0.001715259,0.0008389776],"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":[0.0001068346,0.00001689931,0.00008089823,0.00002996205,0.000003941012,0.000004352222,0.000004111871,0.00005813122,0.0001288396,0.00003740184,0.995729,0.00379949],"study_design_scores_gemma":[0.0003426091,0.0001027417,0.00413878,0.00007785364,0.00003138578,0.00002799312,0.00008417584,0.002736865,0.001728492,0.0007697976,0.9899271,0.0000323409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00419021,0.0009144831,0.005142859,0.00327143,0.003542554,0.0006925543,0.9318997,0.01811431,0.0322319],"genre_scores_gemma":[0.003560502,0.0002841878,0.003288773,0.0004264346,0.000282899,0.0004353431,0.9098673,0.001747099,0.08010741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8780699,"threshold_uncertainty_score":0.4078969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289254952312131,"score_gpt":0.282030619706222,"score_spread":0.2531051244750089,"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."}}