{"id":"W6980413303","doi":"","title":"Canada VMap1, Library 16: Bridge Lines","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Bridge (graph theory); Vector map; Geographic information system; Base (topology)","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":[0.00005183601,0.0002681609,0.000287938,0.0003064451,0.0005864534,0.0001830059,0.001046663,0.0001062837,0.0007399187],"category_scores_gemma":[0.00003904073,0.0001887309,0.0001664123,0.0004587187,0.0005863928,0.0004595201,0.0003509169,0.0001557832,0.0004789083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136375,"about_ca_system_score_gemma":0.001588444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7297785,"about_ca_topic_score_gemma":0.8393348,"domain_scores_codex":[0.9985719,0.00007834029,0.0001649699,0.0002379717,0.0005130086,0.0004337816],"domain_scores_gemma":[0.9990197,0.0001660609,0.0002826014,0.0002736233,0.00003334836,0.0002246301],"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":[0.00001027369,0.000005340004,0.0007529044,0.00001282616,0.0001481901,0.00001093244,0.002163658,3.242205e-7,5.756625e-8,0.02415704,0.9704486,0.002289869],"study_design_scores_gemma":[0.0002218916,0.000008721963,0.0005068555,0.000141266,0.00002319266,0.000001089416,0.005471022,1.102207e-7,4.308044e-7,0.0006755205,0.9926766,0.0002732758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004172598,0.0000816749,0.0001747162,0.003107363,0.0003983369,0.000392428,0.004801698,0.0002957216,0.9907063],"genre_scores_gemma":[0.004830962,0.0001279116,0.00002698357,0.0002158191,0.0006694412,7.734777e-7,0.0003289701,0.00007129811,0.9937279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1095563,"threshold_uncertainty_score":0.8101591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278702188531145,"score_gpt":0.2187227654648849,"score_spread":0.1959357435795735,"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."}}