{"id":"W2995047585","doi":"","title":"Forecasting method of ice blocks fall by logistic model and melting degree-days calculation: a case study in northern Gaspésie, Québec, Canada.","year":2013,"lang":"en","type":"article","venue":"EGUGA","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Degree (music); Degree day; Logistic regression; Climatology; Meteorology; Geology; Environmental science; Statistics; Geography; Mathematics; Physics","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":[0.0004695477,0.0006847598,0.0003788731,0.0006884637,0.000842921,0.0005863559,0.001021067,0.0005266952,0.00169058],"category_scores_gemma":[0.001055769,0.0002714772,0.000446238,0.0009719145,0.000225463,0.0003514894,0.0002517529,0.0004451357,0.0002877964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004768927,"about_ca_system_score_gemma":0.004012581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9016214,"about_ca_topic_score_gemma":0.8916208,"domain_scores_codex":[0.9998569,0.00003060689,0.000007926731,0.00003822062,0.00002875076,0.00003746403],"domain_scores_gemma":[0.9996299,0.0001258673,0.00002626974,0.0000164501,0.0001626488,0.00003888078],"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":[0.0002156703,0.0001230951,0.0740441,0.0000755333,0.00006395425,0.0004848955,0.0002040115,0.876476,0.001936158,0.0007588511,0.003807112,0.04181061],"study_design_scores_gemma":[0.00000797819,0.00001145098,0.009409887,0.000005199356,0.00001142769,0.00001303647,0.0001484446,0.9895713,0.0003237199,0.000100615,0.0003872379,0.000009742064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532917,0.0003313647,0.03547571,0.0005966905,0.00003865644,0.00012807,0.003221579,0.0006343145,0.006281933],"genre_scores_gemma":[0.9845941,0.000109455,0.01220193,0.00001439227,0.000005864973,0.00003396778,0.001021243,0.00003686977,0.001982121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0983786,"threshold_uncertainty_score":0.1979159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03659727247587414,"score_gpt":0.249485481999461,"score_spread":0.2128882095235869,"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."}}