{"id":"W4353064132","doi":"10.31223/x5s36v","title":"Stream Thermalscape Scenarios for British Columbia, Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"STREAMS; Environmental science; Climate change; Range (aeronautics); Representative Concentration Pathways; Geography; Climatology; Physical geography; Climate model; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005457477,0.0009930643,0.0004453695,0.001041702,0.002014589,0.001468281,0.001609884,0.0007967823,0.006219312],"category_scores_gemma":[0.001098665,0.0004026583,0.0007081439,0.002149114,0.0005987932,0.0005705351,0.0005193284,0.0009052684,0.0005613393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.033649,"about_ca_system_score_gemma":0.017384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864305,"about_ca_topic_score_gemma":0.9885693,"domain_scores_codex":[0.9996626,0.00006297142,0.00001160872,0.00005897373,0.00007362042,0.00013019],"domain_scores_gemma":[0.9993881,0.0000710063,0.00002434946,0.00002402982,0.0003754933,0.0001170093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003843734,0.0001109413,0.02476569,0.00007751869,0.0001056964,0.0003430674,0.000069178,0.9388554,0.0006325936,0.003016879,0.02423364,0.007405018],"study_design_scores_gemma":[0.0004440504,0.0001145548,0.05066225,0.00007643155,0.0001059317,0.00006543125,0.0008195199,0.9322088,0.0006654756,0.002225428,0.0124817,0.000130541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809552,0.0005949856,0.001581051,0.001634849,0.00009621469,0.0002721865,0.05570392,0.0006990065,0.05846262],"genre_scores_gemma":[0.9727577,0.0003567921,0.001692211,0.0002294546,0.000006834644,0.0001460371,0.01661276,0.0000357878,0.008162525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.033649,"threshold_uncertainty_score":0.2441417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302075806818026,"score_gpt":0.2042305259104943,"score_spread":0.1912097678423141,"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."}}