{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003419258,0.0001029914,0.0001309593,0.000009343815,0.0002230526,0.0000114032,0.0001480119,0.00005746336,0.001030328],"category_scores_gemma":[0.00000966998,0.00007784832,0.00003745559,0.00007714822,0.0000560202,0.00008457793,0.00005508387,0.00007024555,0.00003549634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242484,"about_ca_system_score_gemma":0.0001003896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4648746,"about_ca_topic_score_gemma":0.8542179,"domain_scores_codex":[0.9988915,0.00001854428,0.0003042938,0.0001878702,0.000281766,0.0003160535],"domain_scores_gemma":[0.9996617,0.00003577449,0.0001156542,0.00009172947,0.00001163331,0.00008348481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006419849,0.000288009,0.2501802,0.0003037271,0.0002040197,0.00003704557,0.05407827,0.01210392,0.001551745,0.0001335157,0.02130565,0.6591719],"study_design_scores_gemma":[0.0009472736,0.00004650388,0.1021184,0.0001811917,0.00003470363,0.00001062843,0.007846622,0.0007586773,0.001652792,0.00006095452,0.8857769,0.0005653328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912418,0.00004605354,0.000009896848,0.00014173,0.00005595647,0.0001220183,0.00006173131,0.00001520984,0.008305568],"genre_scores_gemma":[0.9934434,0.00001535179,0.00412321,0.000218606,0.00005123093,0.00001344695,0.00002893946,0.00001321824,0.002092613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8644713,"threshold_uncertainty_score":0.9998829,"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."}}