{"id":"W6989843121","doi":"","title":"Canada VMap1, Library 23: Power Lines","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; Base (topology); Geographic information system; Digital mapping; Topographic map (neuroanatomy); Power (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004982607,0.0002663887,0.0002775058,0.0003105711,0.0005542569,0.0001749864,0.001020226,0.0001120856,0.001001553],"category_scores_gemma":[0.00003896775,0.0001826989,0.0001618111,0.0004445937,0.0005815593,0.0004548384,0.0003407442,0.0001545314,0.0006708514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009278351,"about_ca_system_score_gemma":0.001500296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4543708,"about_ca_topic_score_gemma":0.6812999,"domain_scores_codex":[0.9985847,0.00007354499,0.0001603874,0.0002321264,0.000521943,0.0004272834],"domain_scores_gemma":[0.9990374,0.0001607226,0.0002736035,0.0002732688,0.0000352332,0.0002197559],"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":[0.00001066138,0.00000556831,0.0005360373,0.000008418128,0.000150199,0.00001281715,0.003185547,3.757386e-7,9.149105e-8,0.03220784,0.9632311,0.000651377],"study_design_scores_gemma":[0.000205078,0.00001039392,0.0002197045,0.0001275594,0.00001889935,9.082999e-7,0.01143628,9.259324e-8,3.624552e-7,0.0006124182,0.9871014,0.000266853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003848924,0.00007936806,0.00008677716,0.003194997,0.0004384191,0.0003731104,0.003748783,0.0002767217,0.9917634],"genre_scores_gemma":[0.003337003,0.00008590585,0.00004199801,0.0002162514,0.0003990192,6.939926e-7,0.0002390777,0.00007017619,0.9956099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.226929,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517454098314366,"score_gpt":0.2084039150170232,"score_spread":0.1932293740338796,"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."}}