{"id":"W4393983535","doi":"10.1002/geo2.138","title":"Governing AI, governing climate change?","year":2024,"lang":"en","type":"article","venue":"Geo Geography and Environment","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Climate change; Political science; Environmental resource management; Environmental science; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007427662,0.0003474673,0.0004560774,0.0007322431,0.003520197,0.009767807,0.001356433,0.005732293,0.009018115],"category_scores_gemma":[0.009357437,0.0001994302,0.0003165458,0.0009899008,0.02835733,0.01120848,0.003705311,0.00850465,0.001293913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008343744,"about_ca_system_score_gemma":0.005995556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248973,"about_ca_topic_score_gemma":0.00694062,"domain_scores_codex":[0.9958429,0.002445658,0.0001375636,0.0005021313,0.0005599018,0.000511834],"domain_scores_gemma":[0.994304,0.00317156,0.0003592189,0.0006567827,0.0009386264,0.0005697676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005863545,0.000008104814,0.0001222823,0.00003260228,0.000002630046,0.00001991032,0.0008286067,0.0002887632,0.0000473554,0.9853435,0.01026887,0.003031431],"study_design_scores_gemma":[0.000005239773,0.000009423222,0.0001851244,0.0001936647,0.000004527179,0.00002081123,0.002176701,0.0006426861,0.0002216547,0.8379706,0.1585589,0.00001070293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009964525,0.01968546,0.01703986,0.7420634,0.003952703,0.00003246234,0.0001006776,0.0001300426,0.2070309],"genre_scores_gemma":[0.8573235,0.01774928,0.004836778,0.06907052,0.00337293,0.000107683,0.0001022022,0.0001264972,0.04731068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01248973,"threshold_uncertainty_score":0.06053835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006510053501450864,"score_gpt":0.1660360896217048,"score_spread":0.1595260361202539,"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."}}