{"id":"W657495344","doi":"","title":"Analysis of Regional Climate Model Simulations of Transport-Related Climate Indices over Southern Quebec","year":2010,"lang":"en","type":"article","venue":"Routes/Roads","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Environmental science; Snow; Climate model; Climate change; Period (music); Geography; Physical geography; Meteorology; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002814793,0.0001580643,0.0003453201,0.0001895534,0.00009220801,0.00001154821,0.0002092874,0.0001664036,0.002548335],"category_scores_gemma":[0.00001210536,0.0001494911,0.0002151911,0.0006532089,0.0003218649,0.0002722989,0.00006357525,0.0001230702,0.00005650034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004421346,"about_ca_system_score_gemma":0.00002117684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007608403,"about_ca_topic_score_gemma":0.03979276,"domain_scores_codex":[0.9984654,0.00003567813,0.0005837468,0.0002914532,0.0003615992,0.0002621619],"domain_scores_gemma":[0.9990813,0.00004553293,0.0004097374,0.0003718366,0.00002062137,0.00007094708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005816815,0.00006860254,0.7298764,0.00001021408,0.000152282,5.711069e-7,0.001031288,0.2013448,0.06678576,0.0003991037,0.00000652916,0.0002662857],"study_design_scores_gemma":[0.0003867137,0.00001976827,0.6569573,0.0000102178,0.0006587624,0.000001517488,0.00007591362,0.3397195,0.001568308,0.000364181,0.00006341418,0.0001744027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984568,0.000006181372,0.0001887485,0.00003190526,0.0001459078,0.0001287392,0.0004824409,0.00004550379,0.0005137442],"genre_scores_gemma":[0.9988925,0.000007912827,0.0008283203,0.00001847753,0.00001510587,0.000004543081,0.000160331,0.00001834898,0.00005442342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1383747,"threshold_uncertainty_score":0.999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008584043397049244,"score_gpt":0.2289910349855527,"score_spread":0.2204069915885034,"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."}}