{"id":"W1979063853","doi":"10.1016/s0140-6736(14)60927-2","title":"Offline: Canada's big promise","year":2014,"lang":"en","type":"article","venue":"The Lancet","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Summit; Prime minister; Immigration; Government (linguistics); Law; Citizenship; Political science; Commit; Media studies; Sociology; Politics","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":[0.005587399,0.001309889,0.001586527,0.002861286,0.01614914,0.01740461,0.00501839,0.01987134,0.1385667],"category_scores_gemma":[0.02055661,0.000618464,0.001923711,0.004681485,0.01060654,0.01189721,0.006583304,0.01677471,0.01523087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05245096,"about_ca_system_score_gemma":0.2442673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657581,"about_ca_topic_score_gemma":0.9846027,"domain_scores_codex":[0.9910124,0.0009020154,0.0001635479,0.0005592791,0.003351447,0.004011348],"domain_scores_gemma":[0.9640155,0.00463276,0.0007589709,0.0009812601,0.008364061,0.02124742],"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":[0.00009450712,0.00004201037,0.001104464,0.0001722724,0.00001810036,0.0001011919,0.0003580027,0.00006999903,0.00004772012,0.02164517,0.9440273,0.03231922],"study_design_scores_gemma":[0.0001314107,0.00003745355,0.003632479,0.0007418392,0.00004545744,0.00006730943,0.003112601,0.0001377887,0.00008789225,0.01653134,0.9754066,0.00006770626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002444929,0.01548609,0.0005716637,0.8839418,0.01532978,0.00004363718,0.003896641,0.0002532947,0.07803213],"genre_scores_gemma":[0.08820575,0.03895924,0.002624281,0.611504,0.01290742,0.000175191,0.003292816,0.000796852,0.2415344],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1385667,"threshold_uncertainty_score":0.4635517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06342308558627202,"score_gpt":0.3668465276618168,"score_spread":0.3034234420755448,"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."}}