{"id":"W6950469411","doi":"10.5683/sp3/odrdma","title":"Wolfe Island (East) Ontario. 1:50,000. Map Sheet 031C01, ed. 4, 1962","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; Aerial photography; Natural (archaeology); Topographic map (neuroanatomy); Government (linguistics)","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":[0.0003347222,0.001596544,0.001034436,0.003904006,0.001331853,0.002844712,0.001325408,0.0004828132,0.1313399],"category_scores_gemma":[0.001971193,0.0007806959,0.0005602936,0.01606956,0.0004498561,0.001079098,0.0009923904,0.0008350425,0.1030824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007304866,"about_ca_system_score_gemma":0.01248446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8942534,"about_ca_topic_score_gemma":0.9469612,"domain_scores_codex":[0.9994292,0.00002263625,0.00004160705,0.000145814,0.0002314188,0.0001294165],"domain_scores_gemma":[0.9987339,0.00006875491,0.0001302216,0.000156607,0.0007601535,0.0001502712],"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":[0.00001927116,0.000003229133,0.001015146,0.0003062622,0.000009984568,0.00001468166,0.00005028048,0.00005787866,0.00004911414,0.0002427769,0.9944711,0.003760393],"study_design_scores_gemma":[0.00002142866,0.000002152882,0.01062584,0.0001168157,0.000007410401,0.00001885866,0.0001319909,0.0000423837,0.00007485125,0.0001232106,0.9888248,0.00001030462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001193073,0.00009758531,0.00003002162,0.0000346594,0.00001675193,0.000006315365,0.9959832,0.0001063741,0.00360577],"genre_scores_gemma":[0.001082505,0.0002336374,0.0002377706,0.00002847898,0.000007893424,0.00003872469,0.9874149,0.0001252779,0.01083085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1313399,"threshold_uncertainty_score":0.4393758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606508281989985,"score_gpt":0.2471978659994852,"score_spread":0.2311327831795854,"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."}}