{"id":"W6980382068","doi":"","title":"Canada VMap1, Library 39: Miscellaneous Line Features","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Base (topology); Vector map; Geographic information system; National library; Digital mapping; Digital data","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":[0.0009081371,0.001671239,0.001015109,0.009866896,0.004856495,0.008233364,0.003595557,0.0009747127,0.6063207],"category_scores_gemma":[0.009811503,0.0009215341,0.0007069532,0.02773317,0.001002561,0.00352192,0.002350139,0.001048783,0.4501114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01646053,"about_ca_system_score_gemma":0.05272462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8431869,"about_ca_topic_score_gemma":0.8471147,"domain_scores_codex":[0.9980907,0.00006259594,0.00008724525,0.0001969978,0.001273557,0.0002889172],"domain_scores_gemma":[0.9885277,0.0004463487,0.0002822352,0.000955064,0.008635998,0.001152662],"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":[0.00001911974,0.000007422983,0.0001831062,0.0001067564,0.000001678733,0.00002728265,0.00006897139,0.00006230915,0.00009035037,0.001373903,0.9727455,0.02531353],"study_design_scores_gemma":[0.000004268532,0.000002032723,0.0006877734,0.00003686028,0.000002275797,0.00002797054,0.00005633353,0.00005828599,0.0001729508,0.0002297874,0.9987106,0.00001076408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000797064,0.0005188704,0.00263485,0.0009193707,0.0005616173,0.0003018658,0.2595388,0.01471707,0.7200105],"genre_scores_gemma":[0.005190316,0.001140721,0.005517304,0.0004038865,0.000194519,0.0002248413,0.1731479,0.01002276,0.8041577],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6063207,"threshold_uncertainty_score":0.5615357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672489979812442,"score_gpt":0.1998788679600083,"score_spread":0.1831539681618839,"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."}}