{"id":"W2785180325","doi":"","title":"Understanding Climate Change: Science, Policy, and Practice","year":2017,"lang":"en","type":"article","venue":"˜The œinnovation journal","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Science policy; Climate science; Political science; Public administration; Sociology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002039098,0.0000705631,0.0000556157,0.0001290815,0.002439383,0.0006739552,0.0002924856,0.00002192937,0.0001168668],"category_scores_gemma":[0.0003677169,0.00005108466,0.00001128288,0.0004629288,0.0003707393,0.00155968,0.0002783872,0.0001624791,0.00003814232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514764,"about_ca_system_score_gemma":0.00001624834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004889514,"about_ca_topic_score_gemma":0.00002682488,"domain_scores_codex":[0.9991198,0.00001541301,0.0001488537,0.0001165895,0.0003198955,0.0002794194],"domain_scores_gemma":[0.9994016,0.00005223254,0.0002538966,0.0002003473,0.00003512242,0.00005675873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002751135,0.0002365275,0.1555911,0.00007054575,0.00008272483,0.0002038005,0.02384865,0.0008627058,0.1288142,0.4241214,0.0107805,0.2551129],"study_design_scores_gemma":[0.00226467,0.0002690689,0.7514777,0.0002050755,0.00007634375,0.005728542,0.01039001,0.0167649,0.0008119555,0.03891704,0.1721251,0.0009696795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6626083,0.00009502721,0.01393259,0.07824044,0.001742474,0.0004754463,0.00001042643,0.00007489226,0.2428204],"genre_scores_gemma":[0.9979868,0.000174222,0.0003035333,0.001002244,0.0004347394,0.000002896373,4.315241e-7,0.000006965728,0.00008816827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5958866,"threshold_uncertainty_score":0.9988593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2050460974345401,"score_gpt":0.3551379001312793,"score_spread":0.1500918026967391,"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."}}