{"id":"W6969134619","doi":"10.5683/sp3/6psbyz","title":"Bracebridge Ontario. 1:50,000. Map Sheet 031E03, ed. 3, 1986","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; Topographic map (neuroanatomy); 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":[0.0004902526,0.002005353,0.001483117,0.005650036,0.001295503,0.00305844,0.001935874,0.0005980537,0.1590999],"category_scores_gemma":[0.00275969,0.001127787,0.0006113391,0.02366735,0.0004535174,0.001207614,0.001030614,0.001054573,0.1592803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007736747,"about_ca_system_score_gemma":0.01229122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.81844,"about_ca_topic_score_gemma":0.8924305,"domain_scores_codex":[0.9992374,0.0000364361,0.00006132396,0.0001793097,0.0003306456,0.000154813],"domain_scores_gemma":[0.9979989,0.0001389469,0.0001925897,0.0002862366,0.00116405,0.0002193047],"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":[0.00001471371,0.000003481235,0.0004764069,0.0002313041,0.000006538006,0.000008879578,0.00002942376,0.00006380049,0.00003731443,0.0001772282,0.9959241,0.003026836],"study_design_scores_gemma":[0.00002508563,0.00000257615,0.008035557,0.0001115216,0.000007102756,0.00001536266,0.00008332605,0.00006390292,0.00008153619,0.0001419586,0.9914201,0.00001198934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005189307,0.00004265893,0.00002424992,0.0000184269,0.00000855402,0.000004100249,0.9979043,0.0001062413,0.001839623],"genre_scores_gemma":[0.0003550012,0.0001167482,0.0001623688,0.00001340423,0.000004055152,0.00003239229,0.9936906,0.00008938588,0.005535918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.18156,"threshold_uncertainty_score":0.5322421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838906389901091,"score_gpt":0.2601923371585827,"score_spread":0.2418032732595718,"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."}}