{"id":"W6989744395","doi":"","title":"Canada VMap1, Library 20: Track 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); Vector map; Geographic information system; Digital mapping; Base (topology); Track (disk drive); Topographic map (neuroanatomy)","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":[0.0000509582,0.0002671959,0.0002872906,0.0002973979,0.0005619925,0.0001762354,0.001029748,0.0001142662,0.0009017647],"category_scores_gemma":[0.00003334284,0.0001849668,0.0001658735,0.0004516638,0.0005876684,0.0004806169,0.0002625312,0.0001617723,0.0005142984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008962263,"about_ca_system_score_gemma":0.001533067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5004286,"about_ca_topic_score_gemma":0.8034479,"domain_scores_codex":[0.9985837,0.00007728284,0.0001685498,0.0002353336,0.0005085499,0.0004265759],"domain_scores_gemma":[0.9990274,0.0001731112,0.0002833169,0.0002601467,0.00003259257,0.0002233954],"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":[0.00001098465,0.000006154573,0.0004462175,0.00001283922,0.0001453322,0.00001255482,0.002712947,7.836901e-7,1.261582e-7,0.02014885,0.9744576,0.00204558],"study_design_scores_gemma":[0.0002237552,0.000009306719,0.0001420641,0.0001330216,0.00002402066,9.735069e-7,0.0094625,2.296568e-7,5.145616e-7,0.0006993417,0.9890368,0.0002674795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003082527,0.00009067367,0.00008929993,0.003628985,0.0003661258,0.0003945362,0.004939287,0.0002859751,0.9901743],"genre_scores_gemma":[0.001428609,0.0001167602,0.00004722193,0.0001728412,0.0006280557,7.730302e-7,0.00029834,0.00006884072,0.9972386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3030193,"threshold_uncertainty_score":0.9873691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867684653588967,"score_gpt":0.2125849699012265,"score_spread":0.1939081233653369,"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."}}