{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007449966,0.0003285796,0.0003118429,0.00001996013,0.0006796251,0.0001025773,0.0003267744,0.000339939,0.002442204],"category_scores_gemma":[0.0003024306,0.0001301625,0.0001447371,0.0006275214,0.0007268693,0.0004523449,0.0001513007,0.0004816584,0.0006865435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238884,"about_ca_system_score_gemma":0.0001181493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433953,"about_ca_topic_score_gemma":0.0005188679,"domain_scores_codex":[0.9970498,0.0008331689,0.0003768233,0.0006215385,0.000506917,0.0006117458],"domain_scores_gemma":[0.9989042,0.0003590581,0.0001262384,0.0001071,0.0002922684,0.0002110931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002213309,0.002713382,0.06500158,0.0003978366,0.0004453257,0.0007953043,0.05676781,0.0001849413,0.4657368,0.1241707,0.1223091,0.1612559],"study_design_scores_gemma":[0.0003129438,0.000591818,0.7741608,0.0001911184,0.00004044904,0.0009861841,0.007680483,0.00005889218,0.05507007,0.00971364,0.1504096,0.0007839524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189149,0.001972549,0.0001122581,0.06063291,0.0006693257,0.000912578,0.00006384619,0.0001237703,0.01659789],"genre_scores_gemma":[0.8824885,0.002189092,0.001085465,0.000154834,0.0005795711,0.00007891579,0.0001584748,0.000003622152,0.1132615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7091593,"threshold_uncertainty_score":0.9984697,"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."}}