{"id":"W6989674794","doi":"","title":"Canada VMap1, Library 16: Airports","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); Vector map; Geographic information system; Digital mapping; Base (topology); Natural resource","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004503669,0.001167683,0.0005791123,0.004340987,0.005560298,0.006513125,0.001757277,0.0007061054,0.4406834],"category_scores_gemma":[0.002721312,0.0005546937,0.0004550467,0.01404507,0.0005983806,0.001768068,0.00154268,0.0008647582,0.200217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01767955,"about_ca_system_score_gemma":0.0563484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9433794,"about_ca_topic_score_gemma":0.9591771,"domain_scores_codex":[0.9990901,0.0000339236,0.00002942682,0.0001183632,0.000515238,0.0002130298],"domain_scores_gemma":[0.9977471,0.0000675251,0.00006313076,0.0001520454,0.001580484,0.0003896039],"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":[0.00002786403,0.000008827267,0.0005904721,0.00008783262,0.000002460948,0.00003150725,0.0001112895,0.000157831,0.00008403433,0.002833336,0.9724876,0.02357704],"study_design_scores_gemma":[0.000005310258,0.000002431039,0.002341068,0.00004222265,0.000002380972,0.00001839643,0.0001475974,0.0001090591,0.0001145615,0.000269879,0.9969358,0.0000111478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001809219,0.0005524414,0.00123932,0.0004987117,0.0002609146,0.000185665,0.2834637,0.002904611,0.7090855],"genre_scores_gemma":[0.0134972,0.001315898,0.003480014,0.0002018831,0.00008022785,0.0001269138,0.1805365,0.001919795,0.7988415],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4406834,"threshold_uncertainty_score":0.7977972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523852250537565,"score_gpt":0.2022386125977308,"score_spread":0.1870000900923551,"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."}}