{"id":"W7026939564","doi":"","title":"Canada VMap1, Library 16: Political Boundary 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":"Boundary (topology); Scale (ratio); Product (mathematics); Politics; Base (topology); Geographic information system; 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":[],"consensus_categories":[],"category_scores_codex":[0.000659433,0.0007984712,0.0006070701,0.00628655,0.005341521,0.006760165,0.001870254,0.0005722201,0.2969032],"category_scores_gemma":[0.00398273,0.0006664422,0.0004346021,0.02054475,0.0007655465,0.001909485,0.001974581,0.0008342655,0.08686431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02553312,"about_ca_system_score_gemma":0.08327998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9656029,"about_ca_topic_score_gemma":0.9744903,"domain_scores_codex":[0.9988558,0.00004363186,0.00003932765,0.0001237987,0.0007219295,0.0002154886],"domain_scores_gemma":[0.9970566,0.0001200015,0.00009684154,0.000194776,0.002125679,0.0004061472],"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":[0.00002068128,0.000007703035,0.0007137455,0.0001146555,0.000002556962,0.00003134461,0.0003494953,0.000167849,0.00009557813,0.005597479,0.9602016,0.03269749],"study_design_scores_gemma":[0.000004098463,0.00000127474,0.002575038,0.00003659786,0.000001875973,0.00001639382,0.0002288828,0.00009845808,0.0001185184,0.0004025724,0.9965072,0.000008943879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002722192,0.0006081937,0.001888875,0.0006759878,0.0002045794,0.0002909645,0.380615,0.003011624,0.6099827],"genre_scores_gemma":[0.02387984,0.001654752,0.01052423,0.0002785457,0.00007980432,0.0003459703,0.303495,0.00350462,0.6562372],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2969032,"threshold_uncertainty_score":0.9932401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585814554027519,"score_gpt":0.2151957107561179,"score_spread":0.1993375652158427,"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."}}