{"id":"W4384696204","doi":"10.1163/9789004322714_cclc_2019-0128-484","title":"PRELIMINARY STRATEGIC CLIMATE RISK ASSESSMENT FOR BRITISH COLUMBIA","year":2023,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Risk assessment; Geography; Environmental resource management; Climatology; Environmental planning; Environmental science; Economics; Management; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004338895,0.0002850639,0.0004108929,0.0000308655,0.001948609,0.0006842236,0.0001769636,0.0004001522,0.0008667333],"category_scores_gemma":[0.000009363946,0.0004111307,0.0001400087,0.0002597964,0.0002378231,0.0003474886,0.0004365306,0.0003334824,0.0003070421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000501966,"about_ca_system_score_gemma":0.00001122016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1279484,"about_ca_topic_score_gemma":0.2842911,"domain_scores_codex":[0.9978328,0.0001196758,0.0003497617,0.0006679536,0.0003397641,0.0006900572],"domain_scores_gemma":[0.9991361,0.00009469294,0.0003245992,0.0002510131,0.000009213534,0.0001843874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002889347,0.0002159538,0.003386916,0.0002457175,0.00003993668,0.00002423157,0.00005273757,0.000002954634,0.00001186541,0.000004911467,0.9950664,0.0009194754],"study_design_scores_gemma":[0.002133365,0.002979086,0.1754627,0.0004228226,0.0007987034,0.00005737468,0.0009700453,0.0006327233,0.000003808833,0.002914633,0.81216,0.001464695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02641692,0.00008627705,0.000001916632,0.00004423485,0.0009406257,0.001774674,0.9690155,0.00009629775,0.00162355],"genre_scores_gemma":[0.002515889,0.03126901,0.0001432687,0.0004035525,0.0005414535,0.001921785,0.9618502,0.00008522477,0.001269596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1829064,"threshold_uncertainty_score":0.9998341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0444963141919866,"score_gpt":0.3014119633117426,"score_spread":0.2569156491197561,"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."}}