{"id":"W4251775119","doi":"10.7202/1032660ar","title":"Introduction","year":2015,"lang":"fr","type":"article","venue":"Arborescences Revue d études françaises","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":["insufficient_payload"],"category_scores_codex":[0.0006235164,0.0003983684,0.0004631905,0.0001970389,0.0005180428,0.000489401,0.0004114286,0.0001977669,0.002017711],"category_scores_gemma":[0.001765753,0.0004198813,0.0001574706,0.0001664605,0.001020685,0.0005587701,0.00009950892,0.0003303346,0.001630055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828878,"about_ca_system_score_gemma":0.000233744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202834,"about_ca_topic_score_gemma":0.005992893,"domain_scores_codex":[0.9974858,0.0001543264,0.0006801396,0.0006347861,0.000471824,0.00057308],"domain_scores_gemma":[0.9978997,0.0001919348,0.0003409988,0.0005406989,0.0007421548,0.0002845878],"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":[0.00005562633,0.000326871,0.002638433,0.0002803929,0.0001169155,0.00003769356,0.02854416,0.0002165013,0.00001831328,0.9523737,0.01184812,0.003543283],"study_design_scores_gemma":[0.0005345392,0.0003416676,0.001191223,0.0003586415,0.000298138,0.0000345224,0.01021902,0.002125432,0.000175204,0.04543006,0.9386814,0.0006101483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07563678,0.02459493,0.0008716504,0.5932173,0.08357571,0.001114438,0.0002669659,0.0005956377,0.2201266],"genre_scores_gemma":[0.9323357,0.0004318692,0.001528886,0.000234596,0.04884151,0.00002979804,0.00007229579,0.00006527677,0.01646006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9268333,"threshold_uncertainty_score":0.9998253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633665580405431,"score_gpt":0.2443522298036528,"score_spread":0.2080155739995985,"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."}}