{"id":"W2096845376","doi":"10.1016/j.agrformet.2004.10.004","title":"Models of climatic normals for genecology and climate change studies in British Columbia","year":2004,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Forests, Lands and Natural Resource Operations","keywords":"Climate change; Baseline (sea); Climate model; Environmental science; Climatology; Environmental resource management; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001416126,0.00008015291,0.0002743695,0.00001136896,0.00009888435,0.00001837846,0.0000620742,0.00008523674,0.0002637099],"category_scores_gemma":[0.00002788678,0.00007657269,0.00003293254,0.00009617896,0.0003571296,0.0001779792,0.0001530203,0.00004346096,0.000006066348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000753259,"about_ca_system_score_gemma":0.000001315193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386569,"about_ca_topic_score_gemma":0.3337049,"domain_scores_codex":[0.9991916,0.00002385377,0.0002204921,0.0002100016,0.00005557983,0.0002984446],"domain_scores_gemma":[0.9997412,0.00006102937,0.00008133995,0.00004877261,0.00001701481,0.00005066864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006093244,0.0002790332,0.9764712,0.0003797035,0.0000698536,0.0000228975,0.002849479,0.0002759713,0.003104504,0.008078285,0.00115397,0.007254147],"study_design_scores_gemma":[0.0009186338,0.0003103943,0.9915537,0.00001639922,0.00002383901,0.00009767429,0.001835319,0.00005286212,0.00002322488,0.004947951,0.0001101571,0.0001098489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977108,0.001059379,0.000004892099,0.0003526934,0.0000737499,0.0004009405,0.00007667445,0.00001134743,0.0003095684],"genre_scores_gemma":[0.9955252,0.003771125,0.0002102371,0.0002234031,0.0000153024,0.0001891631,0.00003748497,0.000003520202,0.00002452061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3298392,"threshold_uncertainty_score":0.6784533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890866424917382,"score_gpt":0.2564230010825878,"score_spread":0.207514336833414,"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."}}