{"id":"W6950449986","doi":"10.5683/sp3/uc7ku1","title":"Walkerton Ontario. 1:50,000. Map Sheet 041A03, ed. 4, 1993","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Digital mapping; Aerial photography; Geographic information system; Orthophoto","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":[],"consensus_categories":[],"category_scores_codex":[0.0004352794,0.00183978,0.001370308,0.004799727,0.001330196,0.002824636,0.001727487,0.0005919943,0.1953284],"category_scores_gemma":[0.002522168,0.001054514,0.0005922635,0.02290718,0.0004295359,0.001172118,0.0009698919,0.0009151698,0.1691344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00826497,"about_ca_system_score_gemma":0.01301229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8577028,"about_ca_topic_score_gemma":0.9114825,"domain_scores_codex":[0.999371,0.00002901536,0.00005435205,0.0001475922,0.0002681105,0.0001300026],"domain_scores_gemma":[0.9982527,0.0001301809,0.0001667087,0.0002324812,0.001032392,0.0001855904],"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":[0.00001480603,0.000003071334,0.0005416588,0.000229895,0.000006379324,0.000009549131,0.00003036401,0.00006291522,0.00003383037,0.0001789587,0.9951659,0.003722616],"study_design_scores_gemma":[0.00002804052,0.00000259507,0.008931451,0.0001252526,0.000008383318,0.00001613831,0.0001059052,0.00007026667,0.00007925295,0.0001707474,0.9904495,0.00001239686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005530688,0.00003889118,0.00002391813,0.00001889489,0.000007319781,0.000004145897,0.9978567,0.00008301137,0.001911933],"genre_scores_gemma":[0.0004517947,0.0001461187,0.0001843282,0.00001686145,0.000004027489,0.00004162334,0.9919792,0.00008403367,0.007091942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1953284,"threshold_uncertainty_score":0.6534387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645579851455792,"score_gpt":0.2552617832066743,"score_spread":0.2388059846921163,"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."}}