{"id":"W2405430701","doi":"10.7202/1036335ar","title":"Les travailleurs de rue, témoins-acteurs dans les zones grises de la lutte contre l’intimidation","year":2016,"lang":"fr","type":"article","venue":"Service social","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Intimidation; Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001251098,0.0002998346,0.0003401001,0.00003807891,0.001998303,0.0002312117,0.0007126784,0.0006425441,0.001015159],"category_scores_gemma":[0.0002879447,0.0002635715,0.0002379217,0.0008174491,0.001716301,0.0006896497,0.00008250583,0.0002578073,0.0001284011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000831106,"about_ca_system_score_gemma":0.0008006483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2550547,"about_ca_topic_score_gemma":0.2106021,"domain_scores_codex":[0.9963143,0.001163737,0.000347204,0.0004638044,0.0006848488,0.001026114],"domain_scores_gemma":[0.9983966,0.0005952007,0.0003905873,0.0001412756,0.000214589,0.0002617817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007884823,0.0003173251,0.1149769,0.000112049,0.0001160055,0.0000267762,0.2823008,0.00002120624,0.004560641,0.1736671,0.0190441,0.4047783],"study_design_scores_gemma":[0.001041032,0.00006945833,0.5522908,0.0002500456,0.0001611619,0.000005527735,0.1209939,0.00006972793,0.0004210329,0.01355264,0.3104486,0.0006960664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8623015,0.001743191,0.001056146,0.09123281,0.001403747,0.0002356,0.0001749381,0.0001356475,0.04171638],"genre_scores_gemma":[0.9780412,0.003061515,0.0002873632,0.001136114,0.003305943,0.00001847813,0.000005333276,0.00003841383,0.01410561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4373139,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837545629584391,"score_gpt":0.3148093817113003,"score_spread":0.2864339254154564,"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."}}