{"id":"W1990906768","doi":"10.7202/900581ar","title":"Analyse longitudinale de l’effet Pygmalion","year":2009,"lang":"fr","type":"article","venue":"Revue des sciences de l éducation","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006678876,0.0004427018,0.0006084533,0.0008149826,0.001291038,0.001295114,0.000754612,0.001066366,0.006130086],"category_scores_gemma":[0.01837044,0.0004789579,0.001027538,0.001323826,0.0009578363,0.0009699173,0.001009757,0.001743473,0.0007861621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457965,"about_ca_system_score_gemma":0.002696438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09285714,"about_ca_topic_score_gemma":0.0680203,"domain_scores_codex":[0.9969063,0.001358306,0.0001863347,0.0005757769,0.0005508214,0.0004224088],"domain_scores_gemma":[0.9786929,0.009284662,0.005274261,0.002273454,0.003144952,0.001329724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003361006,0.0002243365,0.9900177,0.00005855672,0.0004248883,0.00007207567,0.002207106,0.0001046018,0.0003881713,0.0002994293,0.0005600602,0.005307069],"study_design_scores_gemma":[0.0000154591,0.0002443751,0.9969572,0.00002817847,0.0001197698,0.00003945665,0.0007179097,0.0001760446,0.0001856476,0.0001339696,0.001370827,0.0000111739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995749,0.0005241331,0.0005505533,0.0003145093,0.00003306923,0.00006932248,0.001446358,0.0000116804,0.001301292],"genre_scores_gemma":[0.9933704,0.0002770072,0.0005850913,0.0001236939,0.00001615627,0.0002403269,0.000901154,0.00001211583,0.004473932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09285714,"threshold_uncertainty_score":0.1846333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2953955609514885,"score_gpt":0.4265902063247546,"score_spread":0.1311946453732661,"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."}}