{"id":"W3154592260","doi":"10.1175/bams-d-19-0143.a","title":"Convenient Access to Archived Predictions: Canada’s CaSPAr Platform","year":2020,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Research Data Management Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geology; Computer science; Environmental science; Meteorology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0005690288,0.0001473968,0.0002903371,0.00001407678,0.0002062519,0.0003337197,0.005376594,0.00002135053,0.0001021775],"category_scores_gemma":[0.001476894,0.00009488004,0.0001767473,0.0005069968,0.0003444291,0.00053304,0.004543944,0.0003144169,0.00001995367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008200153,"about_ca_system_score_gemma":0.000225145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09499083,"about_ca_topic_score_gemma":0.003497659,"domain_scores_codex":[0.9977254,0.0002568837,0.0002925018,0.0005242968,0.0007895256,0.000411425],"domain_scores_gemma":[0.9978835,0.0006128479,0.0003347277,0.0007914054,0.0000711254,0.0003064077],"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":[0.0001686314,0.0001506287,0.005668784,0.00004834233,0.0003059914,0.0000197838,0.0005971346,0.002807995,0.0009257022,0.01315941,0.9678331,0.008314466],"study_design_scores_gemma":[0.00023606,0.0004961494,0.08070257,0.000007678277,0.00002224626,0.000003130004,0.0002919203,0.004561047,0.0005824401,0.0001708422,0.91274,0.0001859294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.167179,0.00005411705,0.2043485,0.6226807,0.0002084184,0.001051862,0.00007870405,0.0001609235,0.004237796],"genre_scores_gemma":[0.8883853,0.0001860209,0.04099187,0.07000365,0.00007762032,0.00006991502,0.000003711799,0.000009509904,0.0002723897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7212064,"threshold_uncertainty_score":0.9991139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08606478399202414,"score_gpt":0.3102208549708566,"score_spread":0.2241560709788324,"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."}}