{"id":"W4206443197","doi":"10.3917/cerpsy.092.0020","title":"L’homme aux mille métiers","year":2017,"lang":"fr","type":"article","venue":"Cerveau & Psycho","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Political 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":[0.0008887554,0.001355679,0.0007091596,0.001600289,0.008310523,0.002703621,0.0006316744,0.002809501,0.04284071],"category_scores_gemma":[0.001913839,0.0005940019,0.0007561954,0.001121601,0.002029748,0.002110353,0.001772421,0.005048122,0.003437419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007565249,"about_ca_system_score_gemma":0.002727599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1931605,"about_ca_topic_score_gemma":0.2789862,"domain_scores_codex":[0.9989109,0.0004072169,0.00003663136,0.000147315,0.0001624488,0.0003355235],"domain_scores_gemma":[0.9994801,0.0002486893,0.00006474109,0.00002753938,0.00007181005,0.0001071301],"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":[0.001459891,0.0008562931,0.0576629,0.00117523,0.0004360162,0.02038243,0.06363013,0.001460471,0.007028876,0.4017825,0.1438096,0.3003156],"study_design_scores_gemma":[0.0001162367,0.0002114972,0.07723381,0.0003024263,0.00003521555,0.004106841,0.01597038,0.0003480895,0.001022588,0.004341441,0.8962446,0.00006675101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5359544,0.02490744,0.003605375,0.04647233,0.004119726,0.00009880258,0.001457106,0.0002168364,0.383168],"genre_scores_gemma":[0.6809782,0.00776843,0.002568474,0.003399216,0.001364678,0.0001107163,0.0004030399,0.0001108352,0.3032964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1931605,"threshold_uncertainty_score":0.3840724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297334632986141,"score_gpt":0.367520339119945,"score_spread":0.2377868758213309,"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."}}