{"id":"W7096293469","doi":"","title":"Detection of Trends in Ice Season Characteristics of New Brunswick Rivers","year":2015,"lang":"en","type":"article","venue":"","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linear regression; Hydrology (agriculture); Regression analysis; Precipitation; Linear relationship; Regression","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":[0.0008362366,0.00019434,0.0002581954,0.003703028,0.0006287972,0.0009537765,0.0006300512,0.0001357955,0.0020852],"category_scores_gemma":[0.003351774,0.0002024969,0.0001954204,0.006392599,0.0003653597,0.000408695,0.0008045128,0.0002960037,0.0002437094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006280747,"about_ca_system_score_gemma":0.00588738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8166371,"about_ca_topic_score_gemma":0.9413779,"domain_scores_codex":[0.9994973,0.00005554981,0.00008989217,0.0000938774,0.0001377839,0.0001256875],"domain_scores_gemma":[0.9970707,0.0003784945,0.000912007,0.0001490609,0.001333905,0.0001559149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006485524,0.00001229182,0.979074,0.00006618866,0.00003071188,0.0001486277,0.001711872,0.0002708414,0.001937087,0.0002675252,0.001442662,0.0149733],"study_design_scores_gemma":[0.000001240654,0.000004085668,0.9958807,0.00001800199,0.000004442406,0.00002248438,0.001160232,0.0001495704,0.0002839135,0.00001541649,0.002455306,0.000004581107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758444,0.0005797888,0.0005775373,0.0002673597,0.0000154906,0.0001291256,0.01396202,0.00003746875,0.008586852],"genre_scores_gemma":[0.9791781,0.0006718184,0.001936992,0.00009087025,0.000008458305,0.0002361598,0.01177577,0.00003447684,0.006067534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1833629,"threshold_uncertainty_score":0.3688855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05152737220118682,"score_gpt":0.2489741964579845,"score_spread":0.1974468242567977,"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."}}