{"id":"W6989658660","doi":"","title":"Canada VMap1, Library 47: Ruins Areas","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; Topographic map (neuroanatomy); Digital mapping; Natural (archaeology); Base (topology)","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":[0.0003691356,0.0008485577,0.0005064426,0.004397498,0.004842118,0.004953144,0.001546455,0.0004520771,0.3378191],"category_scores_gemma":[0.002573705,0.0004938248,0.0003635081,0.01432192,0.0005173343,0.001297055,0.001432261,0.000596782,0.1098463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01675964,"about_ca_system_score_gemma":0.05659818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9619193,"about_ca_topic_score_gemma":0.9743527,"domain_scores_codex":[0.9992804,0.00002581174,0.00002013321,0.0000942411,0.0004194827,0.0001600578],"domain_scores_gemma":[0.9981071,0.00007019907,0.00005010743,0.0001096938,0.001397393,0.00026555],"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":[0.00003219307,0.00001089058,0.0009652111,0.0001227629,0.000003381505,0.00005073822,0.0002968496,0.0001802974,0.0001249037,0.0030582,0.9534728,0.04168175],"study_design_scores_gemma":[0.00000426913,0.000002155688,0.003700017,0.00003459993,0.000002544031,0.00002380778,0.0002320167,0.000106152,0.0001787831,0.0001852521,0.9955212,0.000009195817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.003505798,0.0007078614,0.001349622,0.0005513277,0.0001785646,0.000240231,0.3186783,0.003518662,0.6712696],"genre_scores_gemma":[0.02310889,0.001486579,0.004317422,0.0002159609,0.00006257798,0.0001892182,0.1838656,0.002471067,0.7842829],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3378191,"threshold_uncertainty_score":0.9445207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659097288229224,"score_gpt":0.2055022394449719,"score_spread":0.1889112665626796,"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."}}