{"id":"W6908261544","doi":"10.26023/r2ck-4h81-aq01","title":"RAINEX: Canadian Meteorological Centre Global Imagery. Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Degree (music); Sea surface temperature; Satellite imagery; Climate change; Earth observation satellite","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":[0.000526146,0.002405966,0.001329425,0.003355679,0.0012457,0.001731305,0.003567877,0.001185237,0.03828473],"category_scores_gemma":[0.002089769,0.0006781465,0.0007604571,0.008962461,0.0004430003,0.001216077,0.0009626953,0.001996469,0.0356086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00495083,"about_ca_system_score_gemma":0.00821226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8157305,"about_ca_topic_score_gemma":0.8747467,"domain_scores_codex":[0.9993665,0.00004881022,0.00004130233,0.0001224051,0.0002549601,0.0001660495],"domain_scores_gemma":[0.9984079,0.0001068561,0.0000876397,0.0002312496,0.0009998317,0.0001665443],"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":[0.00001815151,0.00001029662,0.0003728598,0.0001038512,0.00001288654,0.00001167184,0.00001330687,0.0003099434,0.000059199,0.0001549078,0.9972696,0.001663406],"study_design_scores_gemma":[0.0001239738,0.00000742521,0.01118829,0.0001754635,0.00002986698,0.00003778169,0.0001307738,0.002019461,0.0006556103,0.0005428568,0.9850349,0.00005348594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001645599,0.00004508624,0.00007266436,0.00005305546,0.00002167373,0.00001459902,0.9982504,0.0003615485,0.001016214],"genre_scores_gemma":[0.0004341298,0.00004607345,0.0002500973,0.00001523899,0.000003568144,0.0000223308,0.9984998,0.00006334495,0.0006654644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1842695,"threshold_uncertainty_score":0.3707095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470611688747355,"score_gpt":0.2496732211040311,"score_spread":0.2349671042165576,"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."}}