{"id":"W4239861007","doi":"10.4000/formationemploi.2872","title":"Lectures","year":2010,"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":"Espace pour la vie","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001410184,0.00009737514,0.00009489206,0.00006028821,0.0006837629,0.00006357783,0.0001788529,0.0002374198,0.001961392],"category_scores_gemma":[0.0006694896,0.0001044245,0.00006678809,0.0002589857,0.0008285565,0.0007754734,0.00001208068,0.0003292925,0.0008279846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000432431,"about_ca_system_score_gemma":0.0001820169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000292709,"about_ca_topic_score_gemma":0.0006026369,"domain_scores_codex":[0.998927,0.000234406,0.0002336173,0.000120363,0.0002131696,0.0002714481],"domain_scores_gemma":[0.9990016,0.0004591924,0.0001339514,0.0001238725,0.0001803588,0.0001010297],"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":[0.000001032622,0.0000501086,0.001557817,0.00002724519,0.00001438972,1.096742e-7,0.09630478,0.00001221826,0.0001816496,0.845642,0.03032334,0.02588525],"study_design_scores_gemma":[0.0001189645,0.00002233391,0.01090756,0.00001516367,0.00001624944,0.000005548626,0.02235511,0.00009254301,0.00009968237,0.03776818,0.9284502,0.0001484771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6239596,0.0009110879,0.003574054,0.1189775,0.03248198,0.0003189165,0.00002968275,0.0001712793,0.2195759],"genre_scores_gemma":[0.9745393,0.0002671249,0.004243677,0.00121194,0.006781923,0.00002400542,0.0000709413,0.00001036067,0.01285067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8981268,"threshold_uncertainty_score":0.99995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200631452138482,"score_gpt":0.4680458928520889,"score_spread":0.2674144407136069,"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."}}