{"id":"W4383551073","doi":"10.4000/scolia.2720","title":"Subduction et grammaticalisation","year":2023,"lang":"fr","type":"article","venue":"Scolia","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grammaticalization; Infinitive; Lexicalization; Linguistics; Verb; Parsing; History; Ergative case; Computer science; Geology; Natural language processing; Artificial intelligence; Philosophy; Mathematics; Transitive relation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003271102,0.001629013,0.001038871,0.002505909,0.003116743,0.007024646,0.0009106498,0.001618389,0.007267138],"category_scores_gemma":[0.004806606,0.0005392771,0.001209841,0.002429219,0.01434587,0.005952406,0.002093351,0.006506282,0.001422979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007126157,"about_ca_system_score_gemma":0.002320745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03133266,"about_ca_topic_score_gemma":0.01015169,"domain_scores_codex":[0.995355,0.001989624,0.0002078688,0.001164244,0.0009019456,0.0003813582],"domain_scores_gemma":[0.9975005,0.001237932,0.0001878701,0.0004955844,0.0005108996,0.00006733358],"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":[0.00003216344,0.00001129213,0.0006380243,0.0001161669,0.00002571603,0.0002194156,0.005711361,0.000381773,0.002794179,0.963,0.001704072,0.02536599],"study_design_scores_gemma":[0.00007570047,0.00008230471,0.008508665,0.0002953455,0.00005773484,0.002451997,0.00774971,0.002927991,0.008179894,0.4153005,0.5542477,0.000122496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2000882,0.02413007,0.330196,0.01096415,0.002096411,0.0003098808,0.002079422,0.001886053,0.4282498],"genre_scores_gemma":[0.9130132,0.006326663,0.04182177,0.0008513114,0.0009222854,0.0002846997,0.001524091,0.001174085,0.03408194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03133266,"threshold_uncertainty_score":0.06230056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07362829008753341,"score_gpt":0.3312618372795069,"score_spread":0.2576335471919735,"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."}}