{"id":"W4241224820","doi":"10.1037/e403122005-002","title":"PsySR at APA Toronto 2003","year":2003,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001570768,0.003968598,0.002643796,0.00435055,0.0009701198,0.003376847,0.004068101,0.001657394,0.106461],"category_scores_gemma":[0.006890577,0.001452527,0.001800631,0.008092996,0.000515587,0.002294722,0.002421988,0.002957979,0.147118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164018,"about_ca_system_score_gemma":0.003537346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04034977,"about_ca_topic_score_gemma":0.04598461,"domain_scores_codex":[0.9987864,0.0002058938,0.0001237805,0.00038244,0.0003531781,0.0001482825],"domain_scores_gemma":[0.9968041,0.0007397738,0.000150542,0.001228295,0.0006038808,0.0004733802],"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":[0.00008162674,0.00001869899,0.0001528913,0.0002277639,0.00003105891,0.00001641305,0.00001487784,0.0003138041,0.0001878087,0.0003492831,0.9953649,0.003240852],"study_design_scores_gemma":[0.000547578,0.00002801973,0.001872617,0.0001073901,0.00006169954,0.00005501463,0.00003972438,0.002982234,0.001207437,0.003250521,0.9898037,0.00004410561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002147756,0.00008815011,0.0006648091,0.0001120135,0.00004715012,0.00002324934,0.9859043,0.0115796,0.001365916],"genre_scores_gemma":[0.000470258,0.00006472486,0.0009811291,0.00003920403,0.000005586449,0.00006315548,0.9962255,0.001139813,0.001010677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.106461,"threshold_uncertainty_score":0.3561475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982289889403421,"score_gpt":0.3165125298720166,"score_spread":0.2966896309779824,"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."}}