{"id":"W2994006285","doi":"10.4000/estampe.736","title":"« Trait grave »","year":2014,"lang":"fr","type":"article","venue":"Nouvelles de l estampe","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Trait; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007237655,0.0002354474,0.000335768,0.00004311595,0.0008359557,0.00009921155,0.0003549639,0.0003351257,0.001401911],"category_scores_gemma":[0.0003779877,0.0002543534,0.0002176041,0.0004112243,0.001326444,0.0001163094,0.00007115689,0.0002875371,0.0005805152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004508359,"about_ca_system_score_gemma":0.0002786398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471844,"about_ca_topic_score_gemma":0.0120686,"domain_scores_codex":[0.9977438,0.0004154344,0.0002624929,0.0003191782,0.0004087122,0.0008504047],"domain_scores_gemma":[0.9989489,0.0003636904,0.0001077254,0.000181256,0.00009889822,0.0002994864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005284359,0.0001035541,0.0005081878,0.00003695246,0.00005019288,0.000006618955,0.07383271,0.00001216458,0.00001642319,0.7313386,0.08221838,0.111871],"study_design_scores_gemma":[0.0002570255,0.0001023062,0.002671703,0.00005453717,0.00005144655,0.000001470788,0.009971632,0.000263609,0.00002276858,0.04108565,0.9452173,0.0003006094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06398787,0.02674857,0.002691373,0.01782512,0.006046978,0.000274604,0.00004028681,0.0001728569,0.8822123],"genre_scores_gemma":[0.8348418,0.005843256,0.002103028,0.001787685,0.003465561,0.00001910901,0.000005682685,0.00003557983,0.1518982],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8629988,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289304913480994,"score_gpt":0.2527675492912732,"score_spread":0.2238370579431738,"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."}}