{"id":"W7038784789","doi":"","title":"Integration of gender-based analysis in government processes: Canadian experience","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Variety (cybernetics); Process (computing); Mainstreaming; Public policy; Inclusion (mineral)","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":[0.01636222,0.0006446209,0.001010517,0.002839816,0.05478757,0.01365648,0.00305196,0.003451629,0.006558288],"category_scores_gemma":[0.02035141,0.0007514968,0.0007043419,0.01047263,0.03038543,0.004687763,0.009730184,0.006884257,0.0005085703],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2556401,"about_ca_system_score_gemma":0.3136049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931446,"about_ca_topic_score_gemma":0.9958434,"domain_scores_codex":[0.969882,0.008954163,0.0006575334,0.001967499,0.01057808,0.007960728],"domain_scores_gemma":[0.9783707,0.006697394,0.0009420781,0.0007964559,0.007551863,0.005641614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007867224,0.0001068085,0.0107949,0.0001904071,0.00001862117,0.001172741,0.8785158,0.0005369316,0.0006054795,0.05257779,0.01550684,0.03989497],"study_design_scores_gemma":[0.00001321741,0.00004943767,0.01091214,0.0002699716,0.00002086522,0.000355923,0.7031444,0.0006591142,0.0004176412,0.003077904,0.2809772,0.0001021359],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6993943,0.008284007,0.005250276,0.06869003,0.0007333178,0.0002687991,0.000473601,0.0001463412,0.2167593],"genre_scores_gemma":[0.978576,0.003113286,0.001343775,0.00291007,0.00003876894,0.00003758467,0.00009981373,0.00008619708,0.01379449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.74436,"threshold_uncertainty_score":0.8633521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1660422594016808,"score_gpt":0.4761550276899787,"score_spread":0.3101127682882979,"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."}}