{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004016139,0.00008992013,0.00009309476,0.0008866382,0.0002705266,0.00002709039,0.00008611155,0.00002896042,0.0002074204],"category_scores_gemma":[0.00007351224,0.00007236723,0.00001659733,0.003322217,0.0001104852,0.0002416505,0.0001050597,0.00003000167,0.00002259679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294707,"about_ca_system_score_gemma":0.00001047451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05416353,"about_ca_topic_score_gemma":0.1944445,"domain_scores_codex":[0.9990143,0.00001660926,0.0001400942,0.0002551884,0.0003208403,0.0002529813],"domain_scores_gemma":[0.9996306,0.00007860787,0.00007693318,0.0001013767,0.000003326259,0.0001091647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007480857,0.00003072456,0.7964144,0.00001780969,0.000005267168,2.996987e-7,0.0006373162,0.00004196118,0.0003130925,0.000617863,0.00259076,0.199323],"study_design_scores_gemma":[0.0001886076,0.00007564628,0.9775348,0.000003691762,0.00001138388,6.710861e-7,0.0005381458,0.00566428,0.0002463095,0.0003135091,0.01529402,0.0001289009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986854,0.00006937939,0.000907008,0.001163161,0.0001056052,0.0004149544,0.00001516724,0.00002445489,0.01044625],"genre_scores_gemma":[0.9971499,0.000490243,0.001593837,0.0005917799,0.00002724611,0.00007200612,0.000006759857,0.000004473363,0.00006375754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991941,"threshold_uncertainty_score":0.9521348,"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."}}