{"id":"W2559671838","doi":"10.3917/riges.414.0010","title":"Le hipster , le nerd et le marchand","year":2016,"lang":"fr","type":"article","venue":"Gestion","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nerd; Medicine; Internal medicine","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":[0.003048528,0.0009398243,0.000785958,0.002281182,0.002305704,0.00687587,0.001074665,0.006421308,0.03302541],"category_scores_gemma":[0.01767761,0.0003864364,0.0006937814,0.0013881,0.003030042,0.004584552,0.001930341,0.005191735,0.004570043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002678806,"about_ca_system_score_gemma":0.004828633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02855607,"about_ca_topic_score_gemma":0.02773095,"domain_scores_codex":[0.9976051,0.0009783995,0.00009986015,0.0003167257,0.0007101145,0.00028974],"domain_scores_gemma":[0.9957727,0.002306381,0.0002355696,0.0003106121,0.000924152,0.000450744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000568887,0.000182589,0.005337072,0.000800697,0.0001632677,0.00107358,0.004756437,0.000360125,0.0004894423,0.1619334,0.6745874,0.1497471],"study_design_scores_gemma":[0.00008567077,0.00003998597,0.007143604,0.0008280449,0.00005270056,0.001606691,0.003288467,0.0001866979,0.0004727768,0.01810491,0.9681349,0.00005561078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02594435,0.2858844,0.003285671,0.4711676,0.04704444,0.00008940831,0.001188988,0.0001776979,0.1652175],"genre_scores_gemma":[0.3642305,0.1362273,0.003420323,0.04989554,0.03149602,0.0002684928,0.0007097178,0.0004992886,0.4132528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03302541,"threshold_uncertainty_score":0.110481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2103267008388966,"score_gpt":0.426439767100865,"score_spread":0.2161130662619684,"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."}}