{"id":"W2898777657","doi":"10.1175/wcas-d-18-0028.1","title":"Of Climate and Weather: Examining Canadian Farm and Livestock Organization Discourses from 2010 to 2015","year":2018,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Livestock; Climate change; Government (linguistics); Environmental resource management; Sustainability; Extreme weather; Political science; Business; Geography; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003653342,0.0001397056,0.000275972,0.00002847764,0.002539294,0.00001471724,0.00005570244,0.0001968914,0.000274772],"category_scores_gemma":[0.00003257484,0.0001174713,0.0000187688,0.00009236157,0.0001368223,0.00005347861,0.0002059775,0.0001477316,0.00003420431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724658,"about_ca_system_score_gemma":0.0001096512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08127881,"about_ca_topic_score_gemma":0.3567073,"domain_scores_codex":[0.9986817,0.00006872515,0.0002403308,0.0002594107,0.00006135655,0.0006885002],"domain_scores_gemma":[0.9992905,0.0001218603,0.000101808,0.0001388331,0.0001560697,0.0001908816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001039218,0.00001638616,0.729668,0.00007949863,0.00005667504,7.772344e-7,0.2659943,1.483651e-7,0.0005060173,0.0005436002,0.002615906,0.0005083539],"study_design_scores_gemma":[0.0006550108,0.0003541902,0.7410667,0.0001034248,0.00007280443,0.000001918359,0.2469711,0.00005284113,0.00002843372,0.0001288239,0.01032833,0.0002364302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939666,0.0004045906,0.00002022879,0.001311256,0.0002976458,0.0004110936,0.0002377855,0.00002437494,0.003326382],"genre_scores_gemma":[0.9908488,0.005702083,0.0007650724,0.001966609,0.0002574004,0.00002035328,0.00002839612,0.00003499364,0.0003762912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754285,"threshold_uncertainty_score":0.9987593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873557497971622,"score_gpt":0.3295711217265149,"score_spread":0.3008355467467987,"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."}}