{"id":"W7064612699","doi":"","title":"Canada VMap1, Library 23: Extraction Areas","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Vector map; Natural resource; Geographic information system; Base (topology); Digital mapping","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":[],"consensus_categories":[],"category_scores_codex":[0.0008900932,0.001661415,0.001009109,0.01406635,0.004553698,0.006491353,0.002800008,0.0005944332,0.2647633],"category_scores_gemma":[0.006517406,0.0009407668,0.000843364,0.03453115,0.0007461644,0.002452786,0.002285282,0.0009150294,0.152997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01512872,"about_ca_system_score_gemma":0.06086663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8974243,"about_ca_topic_score_gemma":0.8927103,"domain_scores_codex":[0.9980994,0.00006347918,0.0000969064,0.0002675753,0.001151952,0.0003207146],"domain_scores_gemma":[0.9938992,0.0002241675,0.000159581,0.0004145545,0.004971671,0.0003308135],"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":[0.00003592735,0.000009208708,0.0006246209,0.0002165928,0.000007331517,0.00005088756,0.0001894518,0.000271075,0.0002807684,0.003384151,0.9478027,0.04712729],"study_design_scores_gemma":[0.000006451789,0.000001526544,0.001830425,0.00005940921,0.00000593774,0.00002992201,0.0001555508,0.0002110393,0.0005414896,0.0004833259,0.996658,0.00001703406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001571172,0.0005345713,0.007473217,0.0004360604,0.0001851971,0.0004509708,0.7252142,0.008840673,0.255294],"genre_scores_gemma":[0.01208454,0.001755003,0.02990303,0.0002392792,0.0001048057,0.0007749054,0.6997908,0.009018731,0.246329],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2647633,"threshold_uncertainty_score":0.8857214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096134679920401,"score_gpt":0.2027920082641911,"score_spread":0.191830661464987,"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."}}