{"id":"W4210693929","doi":"10.1037/t62062-000","title":"Laval Developmental Benchmarks Scale for Family Medicine","year":2014,"lang":"en","type":"dataset","venue":"PsycTESTS Dataset","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Computer science; Geography; Cartography","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":[0.001686232,0.0006863084,0.001133472,0.0002858622,0.001146043,0.00001810553,0.001088606,0.0008104127,0.003316407],"category_scores_gemma":[0.0006464969,0.0005592342,0.0001003257,0.000226914,0.0001639777,0.0001147916,0.0004458881,0.001733228,0.00211941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819368,"about_ca_system_score_gemma":0.001048863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126437,"about_ca_topic_score_gemma":0.004719703,"domain_scores_codex":[0.9951375,0.0004635447,0.001441332,0.001060811,0.0006041359,0.00129268],"domain_scores_gemma":[0.9959893,0.001195121,0.0007443237,0.001310143,0.0001455034,0.000615624],"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":[0.0001162984,0.0001495219,0.0003452504,0.002214683,0.00003411805,0.000005699162,0.00009960941,1.277369e-7,0.00000963784,0.000009608206,0.9965342,0.000481206],"study_design_scores_gemma":[0.002624041,0.0001743468,0.002327562,0.002338444,0.0001412655,0.000008593787,0.000333144,0.000006031134,6.036987e-7,0.00009051223,0.9913735,0.000581894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001083186,0.0002877612,0.00004585621,0.002126921,0.003757823,0.002467033,0.9909141,0.00006735772,0.0002248344],"genre_scores_gemma":[0.00001442457,0.0008824829,0.0005795441,0.01961446,0.005124939,0.0001151881,0.9734584,0.00006135905,0.0001491687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01748754,"threshold_uncertainty_score":0.9996859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0765736627535957,"score_gpt":0.4404448756709345,"score_spread":0.3638712129173388,"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."}}