{"id":"W4398176508","doi":"10.7202/1110937ar","title":"Le petit et le fragmentaire pour signifier le monde (bis)","year":2019,"lang":"fr","type":"article","venue":"Les Cahiers Anne Hébert","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544592,0.0005225971,0.0002307508,0.001549978,0.00440539,0.004106137,0.0005551642,0.001482649,0.01526355],"category_scores_gemma":[0.003898591,0.0002397351,0.0002636849,0.00123992,0.008780781,0.003878376,0.003203366,0.002451331,0.002371557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003749007,"about_ca_system_score_gemma":0.003016119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02492347,"about_ca_topic_score_gemma":0.03117962,"domain_scores_codex":[0.9986089,0.0007131601,0.00006239759,0.0001823776,0.0003057853,0.0001273582],"domain_scores_gemma":[0.9987283,0.0005101907,0.0001291563,0.000143485,0.0003674598,0.0001214008],"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":[0.000143647,0.00001105637,0.001267191,0.0004165107,0.00001286051,0.0002291378,0.0486871,0.0000671156,0.002194822,0.7941951,0.0617446,0.09103088],"study_design_scores_gemma":[0.000003808164,0.00001567364,0.002570563,0.0003507485,0.000007928135,0.000390444,0.01188863,0.00005272488,0.000785507,0.02175566,0.9621564,0.00002174144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06196429,0.09260036,0.03130597,0.07082315,0.01022395,0.0001049118,0.001291214,0.0003791397,0.731307],"genre_scores_gemma":[0.7048232,0.02196978,0.02146628,0.003740461,0.001740481,0.0001701395,0.0006331985,0.0005619063,0.2448945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02492347,"threshold_uncertainty_score":0.05106169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196246619015181,"score_gpt":0.232486249218502,"score_spread":0.2205237830283502,"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."}}