{"id":"W2316652889","doi":"10.1136/bmj.e3835","title":"Canadian doctors try to garner public support to fight pay freeze","year":2012,"lang":"en","type":"article","venue":"BMJ","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Data science; Computer science; Public relations; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008925533,0.000545029,0.0006319896,0.002006803,0.03046338,0.01198035,0.002523343,0.01436871,0.01708161],"category_scores_gemma":[0.04181683,0.0007863438,0.001056585,0.002254438,0.0113012,0.003693021,0.006517705,0.01612928,0.002539756],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1137048,"about_ca_system_score_gemma":0.254289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769368,"about_ca_topic_score_gemma":0.9859173,"domain_scores_codex":[0.9811859,0.001827251,0.0002742074,0.0006797444,0.00763596,0.008397081],"domain_scores_gemma":[0.9665803,0.003404158,0.001214294,0.0008011469,0.01196233,0.01603784],"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":[0.00008223324,0.00004954966,0.005936384,0.0001112795,0.00006751831,0.0003022062,0.007615413,0.0001989681,0.0002772541,0.08489984,0.8730174,0.02744191],"study_design_scores_gemma":[0.000101833,0.00003919205,0.009064456,0.0002403943,0.00002973101,0.00008476389,0.009554526,0.0001921165,0.0001252467,0.007846881,0.9726416,0.00007918597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01104269,0.002569117,0.0004738951,0.8960433,0.004913183,0.00004486622,0.0001739669,0.00009337469,0.08464555],"genre_scores_gemma":[0.2977703,0.004352942,0.001359501,0.5392109,0.003042597,0.00007389386,0.0003228771,0.0001616709,0.1537053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8862951,"threshold_uncertainty_score":0.8249902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666960342821489,"score_gpt":0.4738683764859276,"score_spread":0.3071723422037787,"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."}}