{"id":"W1583477897","doi":"","title":"Gary L. Saunders. So Much Weather!: Facts, Phenomena and Weather Lore from Atlantic Canada.","year":2003,"lang":"en","type":"article","venue":"Newfoundland and Labrador Studies","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Meteorology; Climatology; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00007233136,0.0002856382,0.0005270854,0.00002623203,0.003254934,0.0001762835,0.00007171257,0.00004285598,0.0004408555],"category_scores_gemma":[0.00003717095,0.0001803566,0.00006924904,0.00004673093,0.0004291592,0.0001048992,0.00005970082,0.0001357567,0.000007966736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564593,"about_ca_system_score_gemma":0.00004063521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6098371,"about_ca_topic_score_gemma":0.9641349,"domain_scores_codex":[0.9988075,0.00005673915,0.0002335915,0.0003584392,0.000214535,0.0003291208],"domain_scores_gemma":[0.9994407,0.0001606652,0.00007521589,0.0001180856,0.00008752917,0.0001178159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008182933,0.0002377506,0.09784462,0.0003029942,0.005371125,0.0001083374,0.604494,0.00000231013,0.00003793339,0.1476702,0.1262379,0.01761102],"study_design_scores_gemma":[0.0005412748,0.00005946768,0.00209223,0.00003142146,0.0002278856,0.00000175206,0.06148664,0.000006011196,7.300313e-7,0.004669345,0.9305338,0.0003493913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373742,0.04042875,0.000003550435,0.01417668,0.0004279896,0.0001358599,0.00004917414,0.00004627543,0.007357536],"genre_scores_gemma":[0.9680154,0.01121368,0.00002264628,0.001013542,0.0005165839,0.00001392162,0.00001396957,0.00001819504,0.0191721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.804296,"threshold_uncertainty_score":0.9980427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183853496289153,"score_gpt":0.2113818298567591,"score_spread":0.1895432948938676,"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."}}