{"id":"W4231380991","doi":"10.1037/t18834-000","title":"Canadian Identification Measure","year":2008,"lang":"en","type":"dataset","venue":"PsycTESTS Dataset","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Identification (biology); Computer science; Data mining; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003880809,0.0003423429,0.0003393955,0.0003848838,0.0002839254,0.00009391024,0.0005564312,0.0003891354,0.001136993],"category_scores_gemma":[0.0008505298,0.0003531089,0.00006302674,0.0002776541,0.00004173113,0.0001981794,0.00004747834,0.0003774885,0.002355617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003044548,"about_ca_system_score_gemma":0.0003759413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09847938,"about_ca_topic_score_gemma":0.4409699,"domain_scores_codex":[0.9979128,0.0001020563,0.0006276651,0.000477248,0.0005088198,0.0003713729],"domain_scores_gemma":[0.9973027,0.0001469724,0.0004262141,0.001668024,0.0001501691,0.0003059236],"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":[0.000003689747,0.00005688745,0.00005188672,0.000119684,0.00002919937,0.00002731927,0.00001074152,0.000001777536,9.677071e-7,0.0001075629,0.9992582,0.0003320622],"study_design_scores_gemma":[0.0001612527,0.000009929568,0.0008240038,0.0000682735,0.0001136079,0.00008057279,0.000001900551,0.00002777998,0.000002094184,0.001792568,0.9965457,0.000372311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000248817,0.00008370584,0.00003845624,0.0004118391,0.0006626613,0.0004272684,0.9982597,0.00004914528,0.00004232694],"genre_scores_gemma":[0.00005712442,0.0001370152,0.000492345,0.0002902452,0.000323134,0.00004600744,0.9985349,0.00003317514,0.00008608283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3424906,"threshold_uncertainty_score":0.9998921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08309870396877055,"score_gpt":0.3559786002748707,"score_spread":0.2728798963061001,"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."}}