{"id":"W6910458409","doi":"10.48477/coccon.pf10.toronto.r01","title":"COCCON Version 1 dataset from atmospheric observatory of Toronto (Canada) available at the EVDC Data Handling Facilities covering start date Jun 16th 2017 to end date Dec 13th 2022","year":2023,"lang":"en","type":"dataset","venue":"COCCON","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Observatory; Group method of data handling; Data processing; Data collection","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":[0.0007434162,0.003028126,0.001976857,0.00459652,0.001956777,0.002985722,0.003477272,0.002600762,0.1125424],"category_scores_gemma":[0.005344457,0.001228251,0.001896923,0.01051806,0.0007000937,0.001432599,0.001794236,0.002145482,0.1131303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007312848,"about_ca_system_score_gemma":0.01580132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8020651,"about_ca_topic_score_gemma":0.8665951,"domain_scores_codex":[0.9988803,0.00009835646,0.00008217456,0.0002604911,0.0003618572,0.0003168361],"domain_scores_gemma":[0.9955927,0.0005612387,0.0002013649,0.0007376359,0.002476978,0.000430106],"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":[0.00001878603,0.000005858397,0.0002815255,0.0001488122,0.00001427509,0.000007552881,0.000009603863,0.0002736853,0.0000296688,0.0001563602,0.9984445,0.0006094],"study_design_scores_gemma":[0.0001864851,0.000009560698,0.005963437,0.0002962558,0.00003791469,0.00002465994,0.00009943816,0.00119073,0.0003119728,0.0008929829,0.9909321,0.00005438949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004541291,0.00002637118,0.00003035631,0.00002819585,0.00001480517,0.000005727416,0.9992143,0.0002059834,0.0004289134],"genre_scores_gemma":[0.0002040482,0.00003565212,0.0001238009,0.00002118923,0.000004313139,0.00002758716,0.9987401,0.00009066786,0.0007526033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1979349,"threshold_uncertainty_score":0.3982012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07073278383887986,"score_gpt":0.2741192747049347,"score_spread":0.2033864908660548,"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."}}