{"id":"W7017640306","doi":"","title":"Canada VMap1, Library 37: Embankment Fill 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); Base (topology); Levee; Vector map; Natural (archaeology); Geographic 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":[0.0005825757,0.0008624545,0.0004825364,0.005624206,0.004772306,0.004470945,0.001963208,0.0004837446,0.4183148],"category_scores_gemma":[0.003806287,0.0006874976,0.0003855707,0.01575424,0.0005805488,0.001533889,0.001194599,0.0006659789,0.1570456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01744752,"about_ca_system_score_gemma":0.05656641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9317116,"about_ca_topic_score_gemma":0.9549147,"domain_scores_codex":[0.9989243,0.00003686026,0.00003961383,0.0001175162,0.00069995,0.000181614],"domain_scores_gemma":[0.9959205,0.0001291878,0.0000945886,0.0002292449,0.003258858,0.000367507],"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":[0.00003806638,0.00001865184,0.000960936,0.000105446,0.00000278091,0.00004700382,0.0003052817,0.0002768347,0.0002042731,0.002728845,0.9497535,0.04555842],"study_design_scores_gemma":[0.000005312796,0.000003671614,0.003610991,0.00003388162,0.000002288038,0.00002370555,0.000274345,0.000180696,0.0002801346,0.0002160853,0.9953551,0.00001369063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0060147,0.0003669855,0.003327049,0.0006741945,0.0002070915,0.0004914772,0.3729439,0.006534059,0.6094405],"genre_scores_gemma":[0.0222528,0.0006680494,0.008149082,0.0001842962,0.00004018155,0.0002619197,0.1760204,0.00334256,0.7890807],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4183148,"threshold_uncertainty_score":0.8297034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784249647897075,"score_gpt":0.2111962122015949,"score_spread":0.1933537157226241,"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."}}