{"id":"W7038742068","doi":"","title":"IntÃ©gration linguistique des immigrants au marchÃ© du travail au QuÃ©bec","year":2011,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Child care; New immigrants","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002565683,0.0004276965,0.0005254218,0.0009684589,0.004799493,0.002909257,0.0009124563,0.0008889617,0.01711669],"category_scores_gemma":[0.006019115,0.0002106365,0.0006196494,0.002110008,0.00196185,0.0009513207,0.001658086,0.001896137,0.001272204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01533,"about_ca_system_score_gemma":0.02195624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9412214,"about_ca_topic_score_gemma":0.9719849,"domain_scores_codex":[0.9988585,0.0003388313,0.00003603693,0.000185548,0.0003039661,0.0002770695],"domain_scores_gemma":[0.994899,0.001336536,0.0006855727,0.000203861,0.002037839,0.0008373347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008939359,0.0002843631,0.7353489,0.0006278983,0.0003090833,0.001290017,0.1317613,0.001018114,0.003553521,0.008100088,0.01710322,0.09970952],"study_design_scores_gemma":[0.00001928924,0.0001548132,0.8576469,0.0005735005,0.0001944439,0.0001578236,0.09915965,0.0007739496,0.0009400423,0.0006609553,0.03965361,0.00006511218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9741654,0.001669217,0.0003711167,0.003896416,0.0001004365,0.00003133147,0.0009365709,0.0000181099,0.01881125],"genre_scores_gemma":[0.9567031,0.002285317,0.0004763802,0.0009275429,0.00003775375,0.00005541937,0.0008368954,0.00002864249,0.03864899],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05877864,"threshold_uncertainty_score":0.1182495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003680021762679525,"score_gpt":0.1430146824363469,"score_spread":0.1393346606736674,"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."}}