{"id":"W4387826399","doi":"","title":"Le territoire vecteur d’insertion socio-professionnelle ?","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","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":[0.008672816,0.001036674,0.0007655305,0.001939208,0.007901111,0.0170715,0.001885509,0.007578644,0.07020079],"category_scores_gemma":[0.03154648,0.0006977518,0.001200264,0.001949752,0.01031479,0.01593161,0.00425686,0.008349068,0.01516463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007453278,"about_ca_system_score_gemma":0.006537921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02876459,"about_ca_topic_score_gemma":0.02281243,"domain_scores_codex":[0.9861711,0.007001701,0.0003108181,0.001393986,0.003617942,0.001504435],"domain_scores_gemma":[0.9864737,0.006368387,0.000650796,0.001481548,0.003634223,0.001391439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001781127,0.00008525785,0.002716622,0.000164705,0.00004428965,0.0008598227,0.01549148,0.0006357169,0.001809319,0.8886696,0.01851478,0.07083023],"study_design_scores_gemma":[0.0001044869,0.0001391555,0.006802221,0.0008850751,0.00004190525,0.002685598,0.03591598,0.003654941,0.001979044,0.1610445,0.7866143,0.0001328668],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07983524,0.004523217,0.06422375,0.09558978,0.004360789,0.00008786159,0.0002711688,0.00135686,0.7497513],"genre_scores_gemma":[0.7729589,0.002609082,0.02190211,0.006489845,0.001717413,0.000207978,0.0002541228,0.001628874,0.1922316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07020079,"threshold_uncertainty_score":0.2348451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971083702270466,"score_gpt":0.2644052866302462,"score_spread":0.2446944496075416,"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."}}