{"id":"W6989660100","doi":"","title":"Canada VMap1, Library 16: Pipeline 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); Pipeline (software); Product (mathematics); Geographic information system; Vector map; Base (topology); Topographic map (neuroanatomy); Information system","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":[0.0009505828,0.001378762,0.0006800117,0.006595836,0.005021071,0.007577553,0.002966818,0.0008486119,0.5435625],"category_scores_gemma":[0.00717625,0.001085441,0.0006091223,0.0208868,0.0008985436,0.003233889,0.001992399,0.0009998049,0.3520268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02013469,"about_ca_system_score_gemma":0.06830742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9132487,"about_ca_topic_score_gemma":0.9093305,"domain_scores_codex":[0.9980779,0.00007598726,0.0000650658,0.0002351432,0.001239829,0.0003061093],"domain_scores_gemma":[0.9931048,0.0002400419,0.0001316084,0.0005972224,0.005312979,0.0006133889],"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":[0.0000303899,0.0000111129,0.0003090763,0.00007809742,0.000002360907,0.00002149966,0.0001096782,0.0001816481,0.0001442594,0.003168674,0.9596826,0.0362605],"study_design_scores_gemma":[0.000006615458,0.000002919393,0.0008305881,0.00002787662,0.000002175521,0.00001661404,0.00008283273,0.0001858526,0.0002453621,0.0004009453,0.9981861,0.00001210939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00151437,0.0003924553,0.006649945,0.0008365882,0.0002409062,0.0003958522,0.2844319,0.01748519,0.6880528],"genre_scores_gemma":[0.008385111,0.0009480751,0.0125082,0.0003008391,0.00007517532,0.0002841055,0.1871007,0.00947742,0.7809204],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5435625,"threshold_uncertainty_score":0.6510527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782499470025725,"score_gpt":0.2133646682690218,"score_spread":0.1955396735687645,"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."}}