{"id":"W6989817393","doi":"","title":"Canada VMap1, Library 16: Dam/Weir 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; Geographic information system; Base (topology); National library; 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":[0.0004461308,0.0009560739,0.0005057951,0.004377396,0.004096852,0.004338982,0.001943953,0.0005138754,0.4251113],"category_scores_gemma":[0.003017697,0.0006408801,0.0003958524,0.01472506,0.0006195935,0.001525084,0.001279653,0.0007960648,0.1635392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01741962,"about_ca_system_score_gemma":0.04952617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.941912,"about_ca_topic_score_gemma":0.9678311,"domain_scores_codex":[0.9991227,0.00003042644,0.00002636662,0.0001049377,0.0005653724,0.0001502164],"domain_scores_gemma":[0.9977604,0.00007938816,0.00006721503,0.0001799584,0.001660441,0.0002525816],"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":[0.00003554548,0.00001105738,0.0006592994,0.0001052476,0.00000342906,0.00003610503,0.0001942327,0.0002403932,0.0001616486,0.003780145,0.9540829,0.04068992],"study_design_scores_gemma":[0.000004773117,0.000002164474,0.001846021,0.00002741764,0.000002071147,0.00001755038,0.0001142261,0.0001458163,0.0002303357,0.0003062347,0.9972934,0.00000991436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002452658,0.0004628435,0.00359326,0.0005370449,0.0001975474,0.0002691119,0.3571116,0.007003882,0.6283721],"genre_scores_gemma":[0.01427096,0.001060919,0.008684065,0.0001955301,0.00005028195,0.0001869695,0.1780766,0.004496276,0.7929783],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4251113,"threshold_uncertainty_score":0.8200089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837161917337144,"score_gpt":0.2124501185799302,"score_spread":0.1940784994065588,"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."}}