{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000514856,0.000257238,0.0002648436,0.0002981113,0.0007530322,0.0002470365,0.0009501979,0.0001004269,0.0005057618],"category_scores_gemma":[0.00003121279,0.0001801582,0.000124576,0.0004959298,0.0005857421,0.0005865247,0.0002892091,0.0001600586,0.0002622906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266672,"about_ca_system_score_gemma":0.00234129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4751155,"about_ca_topic_score_gemma":0.6597408,"domain_scores_codex":[0.998557,0.00006720549,0.0001531315,0.0002385167,0.0005468032,0.0004373304],"domain_scores_gemma":[0.9991058,0.0001019426,0.000320669,0.0002168202,0.00003489977,0.0002199467],"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":[0.00001049943,0.000005586891,0.0006660723,0.00002302366,0.0001001134,0.00001325706,0.00408524,4.942631e-7,6.075683e-8,0.01745545,0.9717692,0.005871075],"study_design_scores_gemma":[0.0001946061,0.000006754735,0.0002148038,0.0002582822,0.00002280171,0.000001214495,0.01346393,3.503323e-7,3.075574e-7,0.0007676947,0.9848053,0.0002639556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002303993,0.0000960799,0.0002006952,0.002163848,0.0002069158,0.0003755295,0.002018225,0.0002990676,0.9946166],"genre_scores_gemma":[0.004969587,0.00005791169,0.00005058543,0.0001545193,0.0004155396,8.687703e-7,0.0001907189,0.00007119428,0.9940891],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1846253,"threshold_uncertainty_score":0.7346638,"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."}}