{"id":"W6889006434","doi":"10.25318/4110001501-fra","title":"Raisons pour lesquelles vous avez eu de la difficulté à trouver un emploi selon la population inuite, en chômage","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; European union; Legislation; Subject (documents)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001310389,0.001120605,0.001026177,0.003266923,0.0009046476,0.002161746,0.002243988,0.001635207,0.03603356],"category_scores_gemma":[0.012475,0.0004896632,0.001055994,0.007279626,0.000373378,0.001349382,0.001330027,0.00184261,0.03274005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593118,"about_ca_system_score_gemma":0.007174707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4595985,"about_ca_topic_score_gemma":0.6546389,"domain_scores_codex":[0.9986344,0.0002157375,0.0001848339,0.000317247,0.0003797449,0.0002679167],"domain_scores_gemma":[0.9941293,0.001156174,0.000617433,0.0007736229,0.002895938,0.0004275643],"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":[0.00002966206,0.000007524445,0.002659664,0.000281271,0.00001841536,0.00001209846,0.00003970116,0.000128145,0.00003702836,0.0006708429,0.994235,0.001880663],"study_design_scores_gemma":[0.0001173209,0.00001010398,0.02197525,0.000523206,0.00003930189,0.00005044509,0.0003486983,0.0006314193,0.0002134443,0.001163962,0.9748868,0.00004014977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000203053,0.0001177493,0.00005454117,0.0001786306,0.00003326286,0.000006698185,0.9983663,0.0000878573,0.0009519451],"genre_scores_gemma":[0.001102532,0.0001356626,0.0003549282,0.00008524396,0.00001555254,0.00005501874,0.9962761,0.00004783449,0.001927174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5404015,"threshold_uncertainty_score":0.9138467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005868722506518245,"score_gpt":0.2714435452324869,"score_spread":0.2655748227259687,"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."}}