{"id":"W6980387679","doi":"","title":"Canada VMap1, Library 17: Firebreak 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; Base (topology); National library; Natural (archaeology)","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":[0.0005832437,0.001032217,0.0005595568,0.005882535,0.00491962,0.005805663,0.002158436,0.0006023183,0.4572646],"category_scores_gemma":[0.003756788,0.000676723,0.0004365578,0.01518824,0.0005926219,0.001723239,0.001370532,0.0008593304,0.2246243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01828879,"about_ca_system_score_gemma":0.05208489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9260332,"about_ca_topic_score_gemma":0.9448086,"domain_scores_codex":[0.9988996,0.0000356354,0.00003436652,0.000124157,0.000713265,0.0001928991],"domain_scores_gemma":[0.9963461,0.0001193488,0.00009902208,0.0002578696,0.002765203,0.0004125672],"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":[0.00002597903,0.00001079407,0.0005360993,0.00008667039,0.000002118416,0.00002845388,0.0001592646,0.0001361373,0.0001142048,0.001992862,0.9629316,0.03397591],"study_design_scores_gemma":[0.000004709145,0.00000256003,0.002150139,0.00003748135,0.000001841597,0.00001821049,0.0001506845,0.00009634358,0.0001788196,0.0002212057,0.9971283,0.000009691128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002069928,0.0003778784,0.002384611,0.0004351036,0.0002255758,0.0002981131,0.3343498,0.005909052,0.6539499],"genre_scores_gemma":[0.01085978,0.000882788,0.005306306,0.000197842,0.00006261632,0.0001896005,0.2226816,0.003505935,0.7563135],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4572646,"threshold_uncertainty_score":0.7741462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672593364114384,"score_gpt":0.2090691692955451,"score_spread":0.1923432356544013,"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."}}