{"id":"W2784662892","doi":"10.4000/corpus.2925","title":"Le Corpus FRAN : réseaux et maillages en Amérique française","year":2016,"lang":"fr","type":"article","venue":"Corpus","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006306779,0.0003057732,0.0004312936,0.00003297493,0.0009831057,0.00008924912,0.0004396761,0.0003653256,0.0005732729],"category_scores_gemma":[0.001384037,0.0002164885,0.0002303934,0.0002650936,0.001527968,0.0002426937,0.0001857418,0.000236476,0.001291257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837829,"about_ca_system_score_gemma":0.0004016085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091314,"about_ca_topic_score_gemma":0.01710218,"domain_scores_codex":[0.9975051,0.000530215,0.0003438536,0.0004560563,0.0004557931,0.0007089332],"domain_scores_gemma":[0.9980667,0.0009385857,0.0001728337,0.0002569816,0.0002826076,0.0002822388],"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":[0.00002290014,0.0001185046,0.01286022,0.00003723596,0.00011263,0.00007406318,0.05295336,0.000001279839,0.0003546903,0.8083182,0.03779938,0.08734753],"study_design_scores_gemma":[0.0006434158,0.00008322809,0.008652985,0.0001865572,0.00004260034,0.000004723551,0.004804074,0.000002465537,0.0001924472,0.02204866,0.9629293,0.0004095514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1838079,0.06970609,0.001478097,0.2269432,0.01533775,0.0008002063,0.0002292707,0.0004315506,0.5012659],"genre_scores_gemma":[0.8148223,0.01396987,0.0002285338,0.0008899012,0.001848827,0.00002528853,0.000003181679,0.00002752568,0.1681846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9251299,"threshold_uncertainty_score":0.9994863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194057566138589,"score_gpt":0.2824204872653962,"score_spread":0.2630147306515373,"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."}}