{"id":"W6964734910","doi":"10.26023/68s9-0ebb-5a0d","title":"WINTRE-MIX: Manual Hydrometeor Observation Reports. Version 1.0","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Precipitation; Sampling (signal processing); Accretion (finance); Mallinckrodt; Data sampling","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":[0.001762987,0.002304954,0.001291987,0.003098988,0.0005639201,0.001781422,0.002984527,0.001774776,0.04008253],"category_scores_gemma":[0.005484859,0.0009553373,0.001103671,0.005250021,0.0003610043,0.002096285,0.001871368,0.001550762,0.06815407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105852,"about_ca_system_score_gemma":0.001929747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02887121,"about_ca_topic_score_gemma":0.04742888,"domain_scores_codex":[0.9987338,0.0002236457,0.0002192702,0.0004057694,0.0002666082,0.0001508856],"domain_scores_gemma":[0.997534,0.000553625,0.0003689381,0.0006786319,0.0006642584,0.0002004027],"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":[0.00006400413,0.0000283484,0.002654835,0.0005777288,0.00004906608,0.00003107014,0.00004104922,0.0006164415,0.0001708174,0.0003773218,0.9923275,0.003061705],"study_design_scores_gemma":[0.0003416111,0.00002433139,0.01352565,0.0002633937,0.00004000783,0.00005741485,0.0001348811,0.001402635,0.0006438427,0.001606017,0.9818859,0.00007421445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001791392,0.00002299996,0.0001209361,0.00002614731,0.00001303127,0.00001007428,0.9988901,0.0004763115,0.0002612273],"genre_scores_gemma":[0.0003709274,0.00002054176,0.0003880722,0.00001730575,0.00000457954,0.00007620807,0.9987183,0.000107315,0.0002968168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04008253,"threshold_uncertainty_score":0.1340894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582662968278256,"score_gpt":0.2737793391256719,"score_spread":0.2479527094428893,"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."}}