{"id":"W6950485237","doi":"10.5683/sp2/95r0iz","title":"GTA Bike Surveys - Summer 2020 - Uncalibrated data","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Analyser; Automatic weather station; Weather station; Data collection; Work (physics)","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":[0.0009583785,0.001690014,0.0009818751,0.002126955,0.0005367072,0.001194607,0.001690338,0.00130947,0.01096354],"category_scores_gemma":[0.002488954,0.0005867374,0.0008845663,0.004294522,0.0002958059,0.0008154852,0.0009444378,0.0008891002,0.01870871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152813,"about_ca_system_score_gemma":0.002018725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1121823,"about_ca_topic_score_gemma":0.1560196,"domain_scores_codex":[0.9992231,0.00009564779,0.00007072205,0.0002200716,0.0002550364,0.000135423],"domain_scores_gemma":[0.9987388,0.00009607689,0.0001523368,0.0003273676,0.0005570092,0.0001283929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002533967,0.00008688046,0.01247727,0.000686551,0.0001380624,0.00009078896,0.00008476451,0.00312007,0.001207566,0.0005987284,0.9738712,0.007384779],"study_design_scores_gemma":[0.0002907621,0.00006563234,0.09522229,0.0002163187,0.00007692724,0.0001278379,0.0002413136,0.004419884,0.00171717,0.0009139998,0.8966123,0.00009550305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001614512,0.00005431782,0.0001704899,0.00004839196,0.00003319622,0.00001300377,0.9966445,0.0005737056,0.000847848],"genre_scores_gemma":[0.001871948,0.00002314022,0.0004374444,0.00002173091,0.000006229669,0.0000336669,0.9970524,0.0000607394,0.0004927132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8878177,"threshold_uncertainty_score":0.2230587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08983727277524517,"score_gpt":0.3254326622344929,"score_spread":0.2355953894592477,"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."}}