{"id":"W1619080071","doi":"10.3917/sh.116.0025","title":"L'intelligence à l'école","year":2001,"lang":"fr","type":"article","venue":"Sciences Humaines","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Labour, Employment and Social Solidarity; Juvenile Diabetes Research Foundation","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004734378,0.001605543,0.001042855,0.003619659,0.004486144,0.01860086,0.0009205306,0.004901402,0.04351765],"category_scores_gemma":[0.007240656,0.0003963023,0.0009656873,0.002474884,0.005820514,0.008106852,0.0049851,0.009253103,0.007131116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009342495,"about_ca_system_score_gemma":0.009110245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04914068,"about_ca_topic_score_gemma":0.03007598,"domain_scores_codex":[0.9948403,0.00187236,0.0001198634,0.0005071048,0.002098875,0.0005614286],"domain_scores_gemma":[0.9944102,0.002224807,0.0003830636,0.0005251697,0.0011539,0.001302931],"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":[0.0001448376,0.0003020136,0.005066871,0.0003505707,0.0001259261,0.0003562167,0.0027337,0.001161551,0.0008283585,0.7268072,0.0616922,0.2004306],"study_design_scores_gemma":[0.00006579632,0.00007436051,0.01124329,0.0002757477,0.00001680116,0.0002752913,0.00102479,0.0006430657,0.0002990753,0.03559954,0.9504519,0.00003040226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02884077,0.02245147,0.009876134,0.109669,0.003916312,0.00006141818,0.0004215334,0.0008740628,0.8238893],"genre_scores_gemma":[0.3979691,0.03222766,0.01337852,0.01190949,0.009268215,0.0002746217,0.0006172499,0.0002424469,0.5341128],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04914068,"threshold_uncertainty_score":0.1455811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06845671600656282,"score_gpt":0.3840691693775686,"score_spread":0.3156124533710057,"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."}}