{"id":"W2787819519","doi":"","title":"Development of Regional Abnormality Climate Indices for Southern Quebec, Canada","year":2000,"lang":"en","type":"article","venue":"80th AMS Annual  Meeting","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Geography; 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":[0.001419932,0.000839059,0.0003505303,0.003593191,0.001387021,0.00147743,0.001013945,0.0002608902,0.003352045],"category_scores_gemma":[0.002206169,0.0002270806,0.0003850919,0.004585178,0.0001761704,0.0005305614,0.0005486188,0.0003847805,0.0006054761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02336473,"about_ca_system_score_gemma":0.02684313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923322,"about_ca_topic_score_gemma":0.9947772,"domain_scores_codex":[0.999517,0.00006318124,0.00002966099,0.00007511723,0.0001931673,0.0001219096],"domain_scores_gemma":[0.9960652,0.00008084332,0.0001894252,0.00007428575,0.00329343,0.0002969526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003157949,0.0001688718,0.6854182,0.0001773599,0.0002321284,0.0001879928,0.0006656609,0.03396467,0.003416392,0.002878229,0.0628642,0.2097104],"study_design_scores_gemma":[0.00007433139,0.00008390468,0.9037547,0.0001105615,0.0001193004,0.00005051139,0.001090852,0.05222943,0.002057806,0.0003525455,0.04001227,0.00006381573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7355592,0.002044154,0.02836736,0.001322326,0.0001477722,0.001809947,0.167615,0.002155504,0.06097879],"genre_scores_gemma":[0.8720406,0.0006985954,0.05140981,0.0001207055,0.00002209617,0.0006766054,0.05887917,0.0002214983,0.01593075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02336473,"threshold_uncertainty_score":0.1695237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007062369040243059,"score_gpt":0.2074388342051484,"score_spread":0.2003764651649053,"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."}}