{"id":"W7017872299","doi":"","title":"Canada VMap1, Library 16: Railroad 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); Geographic information system; Digital mapping; Vector map; Base (topology); Natural (archaeology)","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":[0.0004875626,0.001138047,0.0005723526,0.006691241,0.004467339,0.005720288,0.001930762,0.0006909368,0.451473],"category_scores_gemma":[0.003640296,0.0006645173,0.0004134385,0.02323124,0.0005500742,0.001983682,0.001383254,0.0008014331,0.2183428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01879174,"about_ca_system_score_gemma":0.05554615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9441091,"about_ca_topic_score_gemma":0.9555537,"domain_scores_codex":[0.9987962,0.00003572072,0.00004018235,0.000151239,0.0007603234,0.0002163484],"domain_scores_gemma":[0.9965263,0.0001011302,0.00009811587,0.0002327938,0.002692652,0.000349008],"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":[0.00002085049,0.000009007849,0.0005163731,0.0001015594,0.000001961789,0.00002499278,0.0001301568,0.0001604222,0.00009878287,0.002628748,0.9645162,0.03179087],"study_design_scores_gemma":[0.000003664648,0.000001872091,0.001695872,0.00003353156,0.000001649221,0.00001548786,0.00009785579,0.00007852569,0.0001226666,0.0002037384,0.9977375,0.00000758089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001605872,0.0004571286,0.001686911,0.0004155332,0.000170693,0.0001990162,0.3410638,0.004809472,0.6495916],"genre_scores_gemma":[0.009277531,0.001133819,0.003659475,0.000167825,0.00005940877,0.0001355885,0.2207917,0.002601663,0.762173],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.451473,"threshold_uncertainty_score":0.7824072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786990247443611,"score_gpt":0.2123828150734791,"score_spread":0.1945129125990429,"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."}}