{"id":"W7098794390","doi":"","title":"$Université de Montréal","year":2015,"lang":"en","type":"article","venue":"","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Government (linguistics); Public policy; Public sector","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":[0.00004367356,0.00001605817,0.00002192607,7.690425e-7,0.00007815732,0.000001944652,0.00002947152,0.00001627404,0.0003158191],"category_scores_gemma":[0.0000101262,0.00000470525,0.000009145208,0.00003385971,0.00001071154,0.00001674566,0.00003191334,0.0000104618,0.0001247091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001723198,"about_ca_system_score_gemma":0.000001618977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004819449,"about_ca_topic_score_gemma":0.0107243,"domain_scores_codex":[0.999866,0.000009369517,0.00001904632,0.00003430988,0.00002111602,0.00005013323],"domain_scores_gemma":[0.9999122,0.00002694464,0.000006111372,0.000005895909,0.00001911307,0.00002971565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002354956,0.00001901721,0.8048657,1.618409e-7,0.000007922947,0.000006112315,0.0001818612,0.000001371364,0.005891657,0.004194974,0.171299,0.01350859],"study_design_scores_gemma":[0.00004547215,0.00003488443,0.7509764,1.686864e-7,0.000001423985,0.000002982063,0.0007470543,0.00001066688,0.0003087966,0.0007097933,0.2471379,0.00002443952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449948,0.00009661892,0.000001076102,0.007033094,0.00001523794,0.0000108065,6.224075e-7,0.00002649227,0.04782123],"genre_scores_gemma":[0.982788,0.0000105064,0.00003682875,0.001003406,0.00002028285,8.521554e-7,0.000001570501,2.839933e-8,0.01613856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07583883,"threshold_uncertainty_score":0.5984411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216625756609548,"score_gpt":0.172883723799758,"score_spread":0.1407174662336625,"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."}}