{"id":"W4409226417","doi":"10.1071/hr24027","title":"Impacts of the CSIRO climate modelling program","year":2025,"lang":"en","type":"article","venue":"Historical Records of Australian Science","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Historical record; Obituary; Memoir; Environmental science; History; Geography; Meteorology; Archaeology; Art history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.008171365,0.0006357448,0.0003308339,0.0008260742,0.002206915,0.00309699,0.002162133,0.001176431,0.00970601],"category_scores_gemma":[0.01703875,0.0002948891,0.0007265329,0.001807199,0.001182575,0.001429743,0.003511492,0.002826877,0.002392242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01157545,"about_ca_system_score_gemma":0.0283562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3169585,"about_ca_topic_score_gemma":0.2072342,"domain_scores_codex":[0.9955598,0.001512251,0.0001293321,0.0003065955,0.00194445,0.0005475651],"domain_scores_gemma":[0.9881763,0.002705174,0.0005191957,0.002134282,0.00428406,0.002181063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005353562,0.0003007137,0.01134732,0.0005634388,0.00009621144,0.000428045,0.001432941,0.02440572,0.00108181,0.1223489,0.6433794,0.1940801],"study_design_scores_gemma":[0.0000270578,0.00006090869,0.0109433,0.0001182012,0.00002135592,0.00005690671,0.0003591153,0.007443765,0.0006975709,0.003826016,0.9764022,0.00004365574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07354899,0.004459442,0.01272175,0.1771639,0.004607446,0.0003505694,0.0224906,0.003160107,0.7014971],"genre_scores_gemma":[0.6871197,0.01259351,0.03805702,0.03228476,0.001706283,0.0006341498,0.02467366,0.001960319,0.2009706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3169585,"threshold_uncertainty_score":0.6302272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387890753664096,"score_gpt":0.4081933012681051,"score_spread":0.2694042259016955,"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."}}