{"id":"W4412621505","doi":"10.59350/y24vf-e6s65","title":"Sprinting in Montreal","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004168554,0.0001949357,0.0002470422,0.0001781225,0.00003947489,0.0002543337,0.000925716,0.0001839844,0.00001928211],"category_scores_gemma":[0.00004806556,0.0001507775,0.00009307619,0.000105022,0.00002309959,0.0001050093,0.002154664,0.0003744298,0.0001199797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007144269,"about_ca_system_score_gemma":0.00007553699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008583379,"about_ca_topic_score_gemma":0.0004027444,"domain_scores_codex":[0.9984551,0.00006060758,0.0002932239,0.0006561647,0.0001873897,0.0003475231],"domain_scores_gemma":[0.9986489,0.00008438883,0.000105078,0.001052066,0.00004088335,0.00006868317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000418579,0.00008188896,0.01297261,0.0001200366,0.00002903878,0.0002378935,0.00143406,0.001552671,0.001121245,0.05866678,0.002501586,0.921278],"study_design_scores_gemma":[0.001802443,0.00006016487,0.1547402,0.003650434,0.00001842286,0.00009882446,0.0001335403,0.423429,0.01377327,0.3934618,0.00580364,0.00302838],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179241,0.00009858734,0.7226155,0.0012136,0.0009968921,0.0001705144,7.66475e-7,0.0003943026,0.1565858],"genre_scores_gemma":[0.98033,0.000009873155,0.01720559,0.0001217848,0.0001465787,0.00001191113,5.326261e-7,0.00001088536,0.002162795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9182496,"threshold_uncertainty_score":0.6148527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284580263830308,"score_gpt":0.2324740431103034,"score_spread":0.2196282404720003,"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."}}