{"id":"W7045414853","doi":"","title":"Canada VMap1, Library 66: Processing Areas","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); Topographic map (neuroanatomy); Digital mapping; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006399997,0.001198413,0.0006928067,0.007828034,0.004532253,0.006204302,0.002470198,0.0004580238,0.2831743],"category_scores_gemma":[0.004425205,0.0008311389,0.0006338729,0.02494181,0.0006617322,0.001808361,0.00166526,0.0006863716,0.1414631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02233136,"about_ca_system_score_gemma":0.0795273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9649367,"about_ca_topic_score_gemma":0.9588547,"domain_scores_codex":[0.9984779,0.00004897197,0.00005502907,0.0002073251,0.0009545931,0.0002562849],"domain_scores_gemma":[0.995584,0.0001220015,0.0001075918,0.0002557647,0.00355064,0.0003800605],"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":[0.00003678134,0.00001047928,0.000812896,0.0001393376,0.000004859276,0.00003103828,0.000195563,0.0003784906,0.0002522847,0.0032376,0.9395313,0.05536946],"study_design_scores_gemma":[0.000006943721,0.000002628496,0.003160281,0.00004130777,0.000004336121,0.0000248892,0.0001846595,0.0002988389,0.0003863832,0.0003978762,0.9954761,0.00001575552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003122029,0.0007117912,0.005651204,0.0006469012,0.0001994013,0.0004927479,0.5126232,0.008045205,0.4685075],"genre_scores_gemma":[0.02468487,0.002172728,0.0264465,0.0003285398,0.0001010302,0.0005820843,0.4087113,0.006778605,0.5301943],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2831743,"threshold_uncertainty_score":0.9473125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703382995268632,"score_gpt":0.2108063285710154,"score_spread":0.1937724986183291,"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."}}