{"id":"W2460419293","doi":"","title":"DÉFICIT ET CONDUITES ADAPTATIVES DANS LA PRODUCTION VERBALE AGRAMMATIQUE : VARIABILITÉS À PROPOS D'UN CAS","year":2008,"lang":"fr","type":"article","venue":"Glossa","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Philosophy; Psychology","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":[0.002876088,0.00211643,0.001271868,0.005823432,0.002907638,0.004018007,0.001915086,0.002406174,0.02058557],"category_scores_gemma":[0.01424786,0.0006983592,0.0005129422,0.004585083,0.005724981,0.004411506,0.002835552,0.002059141,0.001297781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680747,"about_ca_system_score_gemma":0.00155441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03011984,"about_ca_topic_score_gemma":0.01473531,"domain_scores_codex":[0.9973132,0.000466252,0.0005246964,0.0005800618,0.0007355367,0.0003802881],"domain_scores_gemma":[0.9898067,0.007591329,0.001037468,0.0006520977,0.000716067,0.0001962138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.003502016,0.001464364,0.2443555,0.002389811,0.0008720704,0.1648661,0.1188784,0.001533934,0.04149188,0.07106526,0.02064644,0.3289343],"study_design_scores_gemma":[0.0003670802,0.0007555435,0.4060631,0.001113722,0.001655947,0.4108206,0.07273258,0.003465231,0.01788579,0.03437197,0.05024404,0.0005244029],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294236,0.006601054,0.003323383,0.003912954,0.0002507663,0.000222739,0.003011718,0.0001246614,0.05312905],"genre_scores_gemma":[0.9868819,0.003020388,0.001901653,0.0004439344,0.0001908899,0.0002627431,0.0007846814,0.00008730414,0.006426503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03011984,"threshold_uncertainty_score":0.0688656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261124744737346,"score_gpt":0.2534225119677164,"score_spread":0.2273100374939818,"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."}}