{"id":"W1666258551","doi":"10.1111/soru.12067","title":"Get Real: Climate Change and All That ‘It’ Entails","year":2014,"lang":"en","type":"article","venue":"Sociologia Ruralis","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Forests, Lands and Natural Resource Operations","keywords":"Climate change; Robustness (evolution); Epistemology; Realism; Conceptual framework; Computer science; Sociology; Social science; Ecology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00363476,0.0003017218,0.0002347899,0.0007844925,0.005080519,0.007580799,0.0007339725,0.002726787,0.005262315],"category_scores_gemma":[0.005879438,0.0002075816,0.0003386813,0.001198156,0.04668036,0.008471695,0.005030036,0.003679697,0.0005207706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003169511,"about_ca_system_score_gemma":0.00216084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00508761,"about_ca_topic_score_gemma":0.005032108,"domain_scores_codex":[0.9953946,0.003154207,0.00008404185,0.0004594489,0.0005088244,0.0003989006],"domain_scores_gemma":[0.9966079,0.001593595,0.0004125267,0.0006146182,0.0004666777,0.0003047203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001106406,0.00001441962,0.0007964857,0.00003921745,0.00000791479,0.0001094504,0.02257281,0.0001694828,0.0001369583,0.9681785,0.003376737,0.004587071],"study_design_scores_gemma":[0.0000093133,0.00002406916,0.003298098,0.0001618177,0.00001510441,0.0002850285,0.04333397,0.0003710788,0.0002704294,0.776931,0.1752683,0.00003180624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.08137255,0.0071159,0.03068755,0.1463821,0.001632822,0.00005863923,0.0001456647,0.0001447948,0.7324601],"genre_scores_gemma":[0.9885889,0.001247131,0.001593798,0.003475272,0.0001911643,0.00002755599,0.00003974,0.00003689467,0.004799556],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007580799,"threshold_uncertainty_score":0.02299649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05159370626144361,"score_gpt":0.2430399230630965,"score_spread":0.1914462168016529,"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."}}