{"id":"W6962971635","doi":"10.18164/d8c9a158-475e-4d7d-92c3-03fa28ac386e","title":"Basin averaged CanRCM4 variables for Western Canada","year":2013,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Environment and Climate Change Canada; Government of Quebec","funders":"","keywords":"Structural basin; Precipitation; Snow; Drainage basin; Climate change; Hydrology (agriculture)","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":[0.0004098113,0.001258034,0.0007989454,0.00273878,0.001577207,0.001414634,0.002384985,0.0007336197,0.01909844],"category_scores_gemma":[0.001550598,0.0004430649,0.0008244896,0.007531096,0.0003471766,0.0005598409,0.0007733514,0.001104215,0.009596989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01126596,"about_ca_system_score_gemma":0.0269179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802639,"about_ca_topic_score_gemma":0.9883317,"domain_scores_codex":[0.9994938,0.00002340041,0.00002404799,0.0001154633,0.0002103237,0.0001329696],"domain_scores_gemma":[0.9985161,0.00004555619,0.00006271179,0.0001253555,0.001123069,0.0001271211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009485088,0.00003980183,0.009472053,0.0002577178,0.0001185153,0.00005144633,0.00008712767,0.004924531,0.0003377952,0.001215266,0.9750946,0.008306224],"study_design_scores_gemma":[0.0002351423,0.00001150024,0.0611877,0.0002891301,0.00009992814,0.00006354006,0.0003145791,0.01007899,0.001193334,0.0009134655,0.9255003,0.000112468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002319535,0.0001051242,0.0001733819,0.00005825712,0.00001830856,0.00001710826,0.9950442,0.0002992196,0.001964841],"genre_scores_gemma":[0.004535254,0.00008336844,0.0007319595,0.0000263078,0.000004877173,0.00004676376,0.9925027,0.0001002426,0.00196853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01973605,"threshold_uncertainty_score":0.08174068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0498287734665779,"score_gpt":0.2707415377260489,"score_spread":0.220912764259471,"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."}}