{"id":"W4245000325","doi":"10.4000/formationemploi.2133","title":"Lectures","year":2009,"lang":"fr","type":"article","venue":"Formation emploi","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Historical Studies in Education","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001060772,0.00009950114,0.0001048008,0.00006239885,0.0006046912,0.00005662729,0.0001497048,0.0001664581,0.0006447536],"category_scores_gemma":[0.0003490794,0.0001078899,0.00006996432,0.0003103233,0.0003725319,0.0008081148,0.000004977945,0.00014541,0.0005178902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097905,"about_ca_system_score_gemma":0.0001340032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009693031,"about_ca_topic_score_gemma":0.00004207312,"domain_scores_codex":[0.9988146,0.0003215042,0.0002466747,0.0001174912,0.000219824,0.0002798379],"domain_scores_gemma":[0.9992688,0.0002710623,0.0001297486,0.0000984056,0.0001443146,0.00008768018],"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":[0.000001692864,0.00006896086,0.0003051743,0.0000151391,0.00001099235,1.669725e-7,0.1077584,0.00006391058,0.00002110497,0.7702053,0.04708777,0.07446146],"study_design_scores_gemma":[0.0001723312,0.00009403308,0.02259298,0.00004390999,0.00002204082,0.000004976018,0.03143068,0.0001231434,0.00004979807,0.1093107,0.8359618,0.0001936968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1853726,0.006258416,0.01218546,0.3832011,0.01237805,0.0004732433,0.00002652833,0.0002760808,0.3998285],"genre_scores_gemma":[0.9767793,0.0008011244,0.002562912,0.003927886,0.004188894,0.000008363925,0.00006922361,0.000005687724,0.01165661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7914067,"threshold_uncertainty_score":0.70596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2431205353457633,"score_gpt":0.4764881313630858,"score_spread":0.2333675960173225,"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."}}