{"id":"W4392884804","doi":"10.24908/cpp-apc.v2024i1.16889","title":"Strava Metro Data","year":2024,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Geodetic Measurements and Engineering Structures","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; University of Waterloo; Toronto Metropolitan University","funders":"University of Waterloo","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.00166182,0.0006627265,0.00056041,0.007338695,0.003079639,0.003995799,0.001854552,0.0007142485,0.03965162],"category_scores_gemma":[0.01017701,0.0005207317,0.0005480149,0.01404627,0.0006085676,0.001401996,0.00216696,0.00105565,0.01545201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01603834,"about_ca_system_score_gemma":0.04479719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9446552,"about_ca_topic_score_gemma":0.9546786,"domain_scores_codex":[0.996666,0.000241805,0.0002201241,0.0003900705,0.00196755,0.0005143827],"domain_scores_gemma":[0.9888583,0.0006115856,0.000506326,0.001341305,0.008084534,0.0005979828],"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":[0.0004104331,0.00009255156,0.03787743,0.001016548,0.00007983885,0.0005748917,0.004814224,0.001954637,0.001785521,0.02229363,0.811736,0.1173644],"study_design_scores_gemma":[0.00002080978,0.0000117496,0.0217721,0.0001701327,0.00001471104,0.00005630415,0.001573957,0.0007456173,0.0005645656,0.0006544481,0.9743761,0.00003939036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01547674,0.0003757142,0.00329862,0.0008370331,0.0001183578,0.0006660653,0.8590574,0.001792114,0.118378],"genre_scores_gemma":[0.09767941,0.0007381242,0.01667185,0.0004157716,0.0000511234,0.001596545,0.8185484,0.0009788163,0.06331987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05534482,"threshold_uncertainty_score":0.1326479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306575067458033,"score_gpt":0.2619094322480519,"score_spread":0.2388436815734715,"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."}}