{"id":"W7008252240","doi":"","title":"Canada VMap1, Library 16: Rapids 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); Natural (archaeology); Digital mapping; Topographic map (neuroanatomy)","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":[0.001238219,0.00159674,0.0008674902,0.007509359,0.004884483,0.008478735,0.00355192,0.00102536,0.6505609],"category_scores_gemma":[0.009319319,0.001235767,0.0006664981,0.0197859,0.0009694716,0.003568581,0.002179621,0.001194817,0.4859512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01927645,"about_ca_system_score_gemma":0.06084375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8909163,"about_ca_topic_score_gemma":0.9071745,"domain_scores_codex":[0.9978365,0.00009759847,0.0000839974,0.0002587105,0.001390943,0.0003323116],"domain_scores_gemma":[0.9909025,0.0004219948,0.0001872109,0.0007736981,0.006952845,0.0007617404],"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":[0.0000176026,0.000007235317,0.0001398475,0.0000706388,0.000001417743,0.00001415029,0.00007430461,0.00007369508,0.00006566219,0.001819482,0.9741223,0.02359361],"study_design_scores_gemma":[0.000004890257,0.000001778117,0.0004428781,0.00003056696,0.000001518181,0.00001260213,0.00006502533,0.0000696355,0.0001361367,0.0002777452,0.9989478,0.000009518249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0007269098,0.0004541361,0.003390575,0.0008249003,0.0003359443,0.0003112338,0.2957077,0.01363132,0.6846173],"genre_scores_gemma":[0.003431359,0.0009005923,0.006795082,0.0002959602,0.00007699403,0.0002262031,0.1486974,0.007346882,0.8322295],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6505609,"threshold_uncertainty_score":0.4984324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774509107348319,"score_gpt":0.2110948447129434,"score_spread":0.1933497536394602,"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."}}