{"id":"W7027152401","doi":"","title":"Canada VMap1, Library 18: Ground Area","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); Natural (archaeology); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003746358,0.0009456822,0.0005716237,0.005339069,0.003416247,0.004573202,0.00188435,0.0004477792,0.306708],"category_scores_gemma":[0.002864207,0.0005439029,0.0004304998,0.01821052,0.0004730393,0.001438927,0.001198942,0.0006509229,0.1198322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02016313,"about_ca_system_score_gemma":0.06275526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9736797,"about_ca_topic_score_gemma":0.978118,"domain_scores_codex":[0.9990645,0.00002580385,0.00002851567,0.0001210102,0.0005865878,0.000173649],"domain_scores_gemma":[0.9974557,0.00005844427,0.000060943,0.0001223867,0.002066272,0.0002363427],"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":[0.00002075437,0.000007416736,0.0007665942,0.0001056592,0.000003830924,0.00002274845,0.0001152002,0.0001527988,0.00009858379,0.002309948,0.9672979,0.02909867],"study_design_scores_gemma":[0.000005805251,0.00000221635,0.003805848,0.00003744702,0.000003352038,0.00001900662,0.0001423268,0.000160372,0.0001603088,0.0002622372,0.9953908,0.00001030344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001946248,0.0005751216,0.001630812,0.0004743473,0.0001982903,0.0002060494,0.5680181,0.003181827,0.4237691],"genre_scores_gemma":[0.0188512,0.00171646,0.006779899,0.0002496487,0.00008012387,0.0002467014,0.4029049,0.002946272,0.5662248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.306708,"threshold_uncertainty_score":0.9888968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785305967822362,"score_gpt":0.2141840855909765,"score_spread":0.1863310259127528,"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."}}