{"id":"W4393673687","doi":"10.5281/zenodo.8015924","title":"Integrated Canadian Hail Database","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Environment and Climate Change Canada","funders":"","keywords":"Database; Computer science","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":[0.0007586722,0.001455349,0.001075532,0.009464911,0.003125868,0.004004281,0.003867932,0.001121112,0.07720623],"category_scores_gemma":[0.00635389,0.0004495817,0.001035917,0.01647902,0.0005286852,0.001973065,0.00224555,0.001264055,0.03896084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01626536,"about_ca_system_score_gemma":0.02422225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9371717,"about_ca_topic_score_gemma":0.964374,"domain_scores_codex":[0.9981546,0.0001242211,0.0001673881,0.0003758883,0.0007970892,0.0003807458],"domain_scores_gemma":[0.9927689,0.0004673029,0.000305743,0.0008208068,0.005059234,0.0005781645],"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":[0.00005398343,0.00001611004,0.002919424,0.0003418391,0.00003145427,0.00006055799,0.00009162114,0.0003733053,0.00009932613,0.001740043,0.9837403,0.01053201],"study_design_scores_gemma":[0.00002488608,0.000007706673,0.008846997,0.0002409997,0.00003185803,0.00008597928,0.0005455448,0.0008733938,0.0002786781,0.0005418761,0.9884593,0.00006274777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00117817,0.0003477115,0.0002636123,0.0001993622,0.00005155171,0.00005475141,0.9847065,0.0006067988,0.01259159],"genre_scores_gemma":[0.003929198,0.0003327846,0.001167723,0.0001212136,0.00001415377,0.0001063525,0.987701,0.0001645709,0.006462892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07720623,"threshold_uncertainty_score":0.2582806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834990562046448,"score_gpt":0.2221786281629181,"score_spread":0.2038287225424536,"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."}}