{"id":"W6958810653","doi":"10.6084/m9.figshare.c.4902906.v1","title":"The Ontario Climate Data Portal","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Map projection; Climate model; Grid; Grid cell; Python (programming language); Downscaling; Spatial distribution","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":[0.001036406,0.0007142819,0.000733243,0.003614114,0.002393076,0.003265315,0.001325467,0.0005846613,0.1980989],"category_scores_gemma":[0.006181151,0.0006541244,0.0005629006,0.01099048,0.0004799068,0.002103867,0.002000526,0.0009264577,0.08072898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0162495,"about_ca_system_score_gemma":0.03036646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9183351,"about_ca_topic_score_gemma":0.9506722,"domain_scores_codex":[0.998833,0.00007635724,0.0000745934,0.000157418,0.0006448103,0.0002139781],"domain_scores_gemma":[0.9950157,0.000394942,0.0002227124,0.0007303032,0.00291897,0.0007172824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002938177,0.000005021903,0.001244511,0.0001566172,0.000009915349,0.00003358247,0.0001395758,0.0002446162,0.0001067684,0.002387802,0.9863447,0.009297574],"study_design_scores_gemma":[0.00001427399,0.000001446173,0.004171411,0.00005346801,0.000005088597,0.00001605223,0.00008731331,0.0002328837,0.0001132822,0.0007126723,0.9945739,0.00001826152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007521668,0.000176975,0.0009654702,0.0005647855,0.0001069731,0.0000733163,0.9224402,0.001945481,0.07297462],"genre_scores_gemma":[0.01055345,0.0009909705,0.006555721,0.0003523733,0.00008799491,0.0004558532,0.9030333,0.002949089,0.07502125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1980989,"threshold_uncertainty_score":0.6627067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1507427214868059,"score_gpt":0.3091331527262989,"score_spread":0.1583904312394931,"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."}}