{"id":"W2689788549","doi":"","title":"Bibliometric Indicators For Environment Canada’s Third Priority Area: Climate Change Mitigation And Adaptation","year":2014,"lang":"en","type":"article","venue":"","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Climate change; Environmental resource management; Environmental planning; Climate change adaptation; Geography; Environmental protection; Environmental science; Ecology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01253723,0.001003597,0.002079565,0.1775058,0.003480997,0.009115006,0.002528281,0.001407647,0.01006211],"category_scores_gemma":[0.07727341,0.0003715467,0.001346441,0.2574943,0.001197686,0.003018136,0.003459534,0.00190307,0.002446781],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03759442,"about_ca_system_score_gemma":0.1234269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7534624,"about_ca_topic_score_gemma":0.8051589,"domain_scores_codex":[0.9541904,0.0024518,0.004257706,0.001264646,0.03571657,0.002118862],"domain_scores_gemma":[0.8478265,0.01463455,0.01738709,0.00313924,0.1084708,0.008541842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001869035,0.0002126633,0.1417915,0.005393771,0.0005799065,0.00007762682,0.0006570134,0.001794822,0.0004757542,0.03543125,0.6419272,0.1714716],"study_design_scores_gemma":[0.00004909324,0.0000367122,0.5365275,0.001228236,0.0003213053,0.0001102472,0.001011303,0.002295776,0.0008032648,0.00424089,0.4532821,0.00009366104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04922167,0.03179787,0.005861915,0.02024837,0.003454011,0.000886432,0.5716777,0.002439753,0.3144123],"genre_scores_gemma":[0.4053687,0.03827651,0.02104588,0.002276263,0.003325257,0.001327111,0.486125,0.0007080769,0.04154723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9624056,"threshold_uncertainty_score":0.4959791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820682785269937,"score_gpt":0.2360903042647957,"score_spread":0.2078834764120963,"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."}}