{"id":"W7052058758","doi":"","title":"Réseaux sociaux et marché du travail. Extension du modèle de Montgomery","year":2009,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extension (predicate logic); Relation (database); Subject (documents); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002010558,0.0004211738,0.000460019,0.00004361451,0.0002044029,0.00004644303,0.0003260962,0.0001207749,0.0002106484],"category_scores_gemma":[0.000009603633,0.0004826378,0.0000715894,0.00009243733,0.0001089444,0.0001688658,0.0001190874,0.000351078,5.94139e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003761998,"about_ca_system_score_gemma":0.002462551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01246112,"about_ca_topic_score_gemma":0.07134625,"domain_scores_codex":[0.9976498,0.00007843436,0.0003753584,0.0003760884,0.0009868408,0.0005334368],"domain_scores_gemma":[0.9986066,0.0004561658,0.0001649676,0.0003012611,0.000001033311,0.0004700206],"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":[0.0001265184,0.0002199328,0.004582333,0.0006603404,0.0004052798,0.0004973172,0.0002591038,0.0150241,0.02230383,0.7340866,0.1351573,0.08667734],"study_design_scores_gemma":[0.0007116831,0.00007643383,0.1681018,0.0006366123,0.0001157674,0.0000365888,0.001014541,0.05785296,0.02214984,0.006146669,0.7421868,0.0009703086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04040662,0.002199484,0.001334463,0.02997067,0.0003274675,0.0004309863,0.001479055,0.00004700168,0.9238042],"genre_scores_gemma":[0.825588,0.01116646,0.00896512,0.003189394,0.0004501248,0.00005025096,0.0001013562,0.0002756873,0.1502135],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7851815,"threshold_uncertainty_score":0.9997625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003144204178081899,"score_gpt":0.1406738232936233,"score_spread":0.1375296191155414,"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."}}