{"id":"W4240310302","doi":"10.1080/00085030.2014.941139","title":"President's Message","year":2014,"lang":"en","type":"article","venue":"Canadian Society of Forensic Science Journal","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000996838,0.00006018534,0.00008080048,0.0001013729,0.0002835823,0.00007815275,0.0002159727,0.00003782535,0.002397216],"category_scores_gemma":[0.00003729998,0.00005939892,0.00008235125,0.0002262922,0.0003561765,0.0003003676,0.00000618412,0.000143091,0.0001378302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247885,"about_ca_system_score_gemma":0.0002918118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009566814,"about_ca_topic_score_gemma":0.002919015,"domain_scores_codex":[0.9991333,0.000009355363,0.0001520043,0.0000760492,0.0003616314,0.0002676175],"domain_scores_gemma":[0.9993303,0.000009613541,0.00003655247,0.000111585,0.000120125,0.0003918129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.624763e-7,0.000003179492,0.001284083,0.00002295142,0.00001606129,7.231187e-7,0.004577256,0.01158289,0.01856645,0.0001131207,0.8766408,0.08719195],"study_design_scores_gemma":[0.001061251,0.0001279601,0.3097616,0.0001806453,0.00004828327,0.0001848924,0.004463616,0.4204858,0.02012198,0.005267821,0.237606,0.0006901664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710733,0.00006432187,0.006107491,0.0004579671,0.001825627,0.00006559728,0.000002884045,0.00004561949,0.02035715],"genre_scores_gemma":[0.9920216,0.00003411925,0.006863075,0.0003095728,0.0004470497,7.318831e-7,7.304611e-7,0.000008719384,0.0003143937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6390347,"threshold_uncertainty_score":0.9985147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774762903930345,"score_gpt":0.2447538320651565,"score_spread":0.227006203025853,"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."}}