{"id":"W2064974869","doi":"10.7202/900297ar","title":"L’ordinateur au secours de l’inadaptation","year":2009,"lang":"fr","type":"article","venue":"Revue des sciences de l éducation","topic":"Psychoanalysis and Psychopathology Research","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01332932,0.001001352,0.0008265746,0.001558356,0.003976883,0.007993767,0.002229587,0.00522225,0.01353735],"category_scores_gemma":[0.03324053,0.000467988,0.001040464,0.0008097917,0.01989627,0.008208295,0.006637481,0.00940069,0.003964889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004662865,"about_ca_system_score_gemma":0.009030038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003124496,"about_ca_topic_score_gemma":0.003703079,"domain_scores_codex":[0.9859697,0.00725035,0.000663341,0.001554869,0.003582894,0.000978913],"domain_scores_gemma":[0.9806903,0.008415623,0.002451089,0.003703923,0.003207342,0.001531729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004183797,0.0003326508,0.004291671,0.0009265108,0.00007845129,0.001159019,0.03964777,0.0005299355,0.003999875,0.6597227,0.01607251,0.2728205],"study_design_scores_gemma":[0.0001298585,0.0008377404,0.007405802,0.001836708,0.00009294114,0.005087136,0.01672942,0.001324773,0.009273441,0.2804505,0.6766825,0.0001491378],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08679906,0.02485738,0.2267443,0.1464496,0.008709936,0.0005418953,0.0001564704,0.001500714,0.5042406],"genre_scores_gemma":[0.7636419,0.009822791,0.05184757,0.01676209,0.001530327,0.000498492,0.00008830766,0.0007215498,0.1550869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01353735,"threshold_uncertainty_score":0.07049298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3824320432584737,"score_gpt":0.5075284213017017,"score_spread":0.125096378043228,"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."}}