{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002697162,0.0001786068,0.0002100073,0.000004567008,0.0002110697,0.00006194603,0.0002043449,0.0002296331,0.0002648441],"category_scores_gemma":[0.00002878716,0.00005468517,0.0000811417,0.00008241543,0.0001130783,0.000151126,0.0001351965,0.0001503663,0.00007502931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001648962,"about_ca_system_score_gemma":0.00000104689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003490968,"about_ca_topic_score_gemma":0.0003189541,"domain_scores_codex":[0.9989054,0.0001295593,0.0001322007,0.0003008692,0.0001207758,0.0004112506],"domain_scores_gemma":[0.9995702,0.0001555442,0.00008507429,0.00005498979,0.00002354887,0.0001106476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006682032,0.0002129559,0.2002848,0.00007229851,0.0001427292,0.00001610818,0.005107856,2.301815e-7,0.4579198,0.01452802,0.1680121,0.1536364],"study_design_scores_gemma":[0.0002528409,0.000541192,0.8107014,0.00003401497,0.00004085664,0.00001634042,0.003430951,0.00001019255,0.002165597,0.002062326,0.1802509,0.0004933802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958162,0.0001993082,1.144033e-7,0.03911011,0.0001628033,0.0001781409,0.00008316468,0.0001688629,0.001935541],"genre_scores_gemma":[0.9930069,0.002347154,0.00002852151,0.003596443,0.000681256,0.00002168304,0.0001772024,0.000001180324,0.0001396865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6104167,"threshold_uncertainty_score":0.2899857,"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."}}