{"id":"W4413220002","doi":"10.1037/t96001-000","title":"Empathy Quotient--French-Canadian Version","year":2009,"lang":"en","type":"dataset","venue":"PsycTESTS Dataset","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Empathy; Quotient; Psychology; Social psychology; Mathematics; Combinatorics","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":[0.000392726,0.0006737307,0.0005835087,0.0008087673,0.0002633565,0.0001580571,0.001315835,0.0008412234,0.034249],"category_scores_gemma":[0.0001401121,0.0006626545,0.0001779064,0.0004869481,0.0001157228,0.0002091148,0.0001113138,0.0009147843,0.05209567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770893,"about_ca_system_score_gemma":0.000233612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1753834,"about_ca_topic_score_gemma":0.1603601,"domain_scores_codex":[0.9963579,0.0003060629,0.0005649358,0.001194986,0.0005270653,0.001049023],"domain_scores_gemma":[0.9960563,0.0001051204,0.0003165325,0.002685469,0.00009224853,0.000744298],"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":[0.0000385208,0.0003335113,0.00001791112,0.00003955996,0.0001152966,0.0007168481,0.0001215333,1.272152e-7,8.544696e-7,0.00001648528,0.9938883,0.004711106],"study_design_scores_gemma":[0.000927197,0.0002728111,0.001947414,0.00009107561,0.0003600778,0.0001170459,0.0001760981,4.79711e-7,0.000002290337,0.0002292706,0.9951186,0.0007577018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001429182,0.001105715,0.000003435707,0.0002164312,0.003627816,0.0005068911,0.9920513,0.00007436855,0.002271127],"genre_scores_gemma":[0.0001286356,0.0001852001,0.00004951977,0.005051252,0.0009587012,0.00006563622,0.993073,0.00004287824,0.0004451116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01784667,"threshold_uncertainty_score":0.9995825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992104049473768,"score_gpt":0.302031161667612,"score_spread":0.2821101211728743,"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."}}