{"id":"W6950610959","doi":"10.5683/sp3/djsgwi","title":"Enquête sur les services aux victimes [Canada] [B2020]","year":2018,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information center; Service (business); Poison control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005079925,0.0009473385,0.0009352,0.000170222,0.0008141533,0.0008557993,0.004428355,0.0006906554,0.0006788612],"category_scores_gemma":[0.0002126091,0.0008610094,0.0002687667,0.000561782,0.0003927568,0.000633734,0.0014991,0.0006029796,0.0003564303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091278,"about_ca_system_score_gemma":0.003209431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9787984,"about_ca_topic_score_gemma":0.9953333,"domain_scores_codex":[0.9952101,0.0003507794,0.0007501061,0.001475821,0.0009933608,0.001219823],"domain_scores_gemma":[0.995042,0.0003852495,0.0006159486,0.002392788,0.0009751388,0.0005888913],"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":[0.00001508285,0.0001325795,0.0002912105,0.0005864422,0.0001715537,0.0002999157,0.000723017,0.000003571063,0.000003045359,0.006169127,0.9851169,0.006487568],"study_design_scores_gemma":[0.0003617231,0.0001984645,0.002711792,0.0004561014,0.0001474716,0.00009182478,0.00008408567,0.002390896,0.00008536863,0.000517706,0.9919617,0.000992931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001180858,0.005982517,0.0004051215,0.001847232,0.002984146,0.0004076735,0.9752501,0.0001742673,0.01283085],"genre_scores_gemma":[0.0003778845,0.001597458,0.0009269338,0.001920759,0.003377838,0.00006107256,0.9868782,0.00006520499,0.004794652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01653484,"threshold_uncertainty_score":0.999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391055334300722,"score_gpt":0.2443866224258593,"score_spread":0.2204760690828521,"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."}}