{"id":"W7008448368","doi":"","title":"Canada VMap1, Library 16: Disposal 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; Natural resource; Digital mapping; Base (topology)","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":[0.0005161217,0.0009629467,0.000615887,0.005299494,0.005586687,0.006269793,0.002223901,0.0005909064,0.4066208],"category_scores_gemma":[0.003320868,0.0007018537,0.0005287094,0.01742252,0.0007725717,0.001795744,0.001990852,0.0007230513,0.1556851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02073434,"about_ca_system_score_gemma":0.06949213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9500211,"about_ca_topic_score_gemma":0.9645329,"domain_scores_codex":[0.9987943,0.00003809496,0.0000394062,0.0001434499,0.0007709487,0.0002138103],"domain_scores_gemma":[0.9970307,0.00009061692,0.00007926991,0.0002097746,0.002259712,0.0003299415],"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":[0.00003713117,0.00001130468,0.000882327,0.0001372773,0.000004032117,0.00005062085,0.0002357952,0.0002568629,0.0001807646,0.003980505,0.9466472,0.04757613],"study_design_scores_gemma":[0.000004627148,0.00000203011,0.002115984,0.00003746613,0.000002590701,0.00002506786,0.0001790789,0.0001310172,0.0002268597,0.0003017198,0.996962,0.00001143499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002925506,0.0006368426,0.002989509,0.000598287,0.0002081256,0.0003046046,0.3004932,0.00493285,0.686911],"genre_scores_gemma":[0.02072456,0.001559469,0.01006605,0.000278586,0.00006447523,0.0002533813,0.1870584,0.004140431,0.7758546],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4066208,"threshold_uncertainty_score":0.8463834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406263776915097,"score_gpt":0.2047227882716023,"score_spread":0.1906601505024513,"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."}}