{"id":"W6950242118","doi":"10.5683/sp2/sbiz1f","title":"GTA Bike Surveys - Summer 2019 - Uncalibrated data","year":2019,"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; Weather station; Automatic weather station; Data collection; Surface weather observation","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":[0.0009568877,0.001517066,0.0009279494,0.002236821,0.0006240508,0.00117603,0.001624226,0.001238121,0.01118242],"category_scores_gemma":[0.002454126,0.0005282328,0.0009146556,0.004187076,0.0003417575,0.0007800043,0.001056849,0.0009227329,0.02012056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118656,"about_ca_system_score_gemma":0.001905354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1065146,"about_ca_topic_score_gemma":0.1777318,"domain_scores_codex":[0.9991121,0.000102934,0.00009418705,0.0002519463,0.0002730018,0.0001658904],"domain_scores_gemma":[0.9983972,0.0001089456,0.0001944688,0.0004694668,0.0006848274,0.0001451276],"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":[0.0003536324,0.00009310457,0.0172831,0.0007070901,0.0001525043,0.0001264603,0.0001136707,0.00232335,0.00179993,0.0005389605,0.969355,0.007153121],"study_design_scores_gemma":[0.0002982776,0.00007853963,0.1309467,0.000204143,0.00007693106,0.0001488081,0.0003156841,0.002896662,0.001904361,0.0007419815,0.8622859,0.0001020786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002579202,0.00006097593,0.0001765466,0.00005792972,0.00005163542,0.0000149396,0.9954149,0.0006079596,0.001035925],"genre_scores_gemma":[0.002738303,0.00002479889,0.0004028057,0.00002273193,0.000009068787,0.00003537939,0.9959837,0.00007384035,0.0007093669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8934854,"threshold_uncertainty_score":0.2117893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104021371529738,"score_gpt":0.3355872543052839,"score_spread":0.22518511715231,"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."}}