{"id":"W3084390263","doi":"","title":"Research guides: Urban Innovation @ UTM: DATA SOURCES","year":2020,"lang":"en","type":"libguides","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Business; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006480486,0.0003496801,0.0004284981,0.0005521315,0.00009999927,0.0001582336,0.001741869,0.0004967389,0.0008847065],"category_scores_gemma":[0.0002104428,0.0003258166,0.00004142332,0.001512902,0.0001671309,0.0001833893,0.0002346827,0.001413829,0.0004650648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007820226,"about_ca_system_score_gemma":0.0001370493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001557897,"about_ca_topic_score_gemma":0.0001169755,"domain_scores_codex":[0.9974335,0.00003781708,0.0007181034,0.00057039,0.0007267701,0.0005134316],"domain_scores_gemma":[0.9980244,0.0001726873,0.00004730144,0.001376087,0.0002760998,0.0001034316],"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":[0.00000306566,0.000009643382,0.0001798306,0.0004986229,0.0001067783,0.00004087343,0.000092585,0.0001340404,0.00003550293,0.008865793,0.989159,0.000874298],"study_design_scores_gemma":[0.0001082301,0.00002934029,0.00008398126,0.00009720134,0.00003811668,0.000001903564,0.00008433077,0.009567043,0.0001320639,0.0004901557,0.988992,0.0003755935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001181781,0.01002687,0.03689684,0.0009792531,0.002999169,0.0006309358,0.003278959,0.002478984,0.9425908],"genre_scores_gemma":[0.1237179,0.02183774,0.05020517,0.003929942,0.04237329,0.0001897994,0.2433622,0.002277385,0.5121065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4304843,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.294111927847056,"score_gpt":0.3339403716754672,"score_spread":0.03982844382841116,"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."}}