{"id":"W3024389483","doi":"10.33137/jaste.v11i1.34255","title":"Cattle Climate Calamity","year":2020,"lang":"en","type":"article","venue":"Journal for Activist Science and Technology Education","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Woodland; Geography; Climate change; Consumption (sociology); Agroforestry; Biology; Ecology; Social science; Environmental health; Sociology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004155667,0.0001421366,0.0001599168,0.0004171279,0.002054006,0.0009240698,0.0002821271,0.0004076671,0.01244907],"category_scores_gemma":[0.001057077,0.00009407446,0.000137826,0.0006794028,0.0003516013,0.0003323567,0.0006576474,0.0007847086,0.0009783198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801598,"about_ca_system_score_gemma":0.0008705308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07273352,"about_ca_topic_score_gemma":0.2211489,"domain_scores_codex":[0.9996904,0.00007096102,0.000009585861,0.00005195423,0.00008680706,0.00009039789],"domain_scores_gemma":[0.999474,0.00005316494,0.0001122939,0.00003718611,0.0001800089,0.0001434036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004358099,0.0002969731,0.7392752,0.000439262,0.0001421544,0.0007263204,0.01685136,0.0007903252,0.02209187,0.007258554,0.04140734,0.1702849],"study_design_scores_gemma":[0.000006785073,0.0001430757,0.8870534,0.0000515508,0.0000233113,0.0001574899,0.006142303,0.0001747987,0.0007148634,0.0005287633,0.1049859,0.0000176207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8938943,0.001778089,0.0008208468,0.004316631,0.0002373967,0.00005593153,0.002697063,0.0000745658,0.09612513],"genre_scores_gemma":[0.9735457,0.0008497316,0.0008424374,0.000807838,0.0001100724,0.00003369994,0.0008357101,0.00001625035,0.02295862],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07273352,"threshold_uncertainty_score":0.1446204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08737134446166328,"score_gpt":0.3797155463550256,"score_spread":0.2923442018933624,"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."}}