{"id":"W6950680118","doi":"10.5683/sp3/ppkbcd","title":"Birdsall Creek Ontario. 1:50,000. Map Sheet 042I13, ed. 1, 1973","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Georeference; Natural (archaeology); Raster graphics; Government (linguistics); Aerial photography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008622683,0.001528924,0.001859945,0.0006486278,0.0003386777,0.000901381,0.00253701,0.001508104,0.0146347],"category_scores_gemma":[0.0003854669,0.001743325,0.0007544369,0.0005975054,0.0003601267,0.0003312332,0.001171222,0.002169215,0.009700227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832139,"about_ca_system_score_gemma":0.002202058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9844642,"about_ca_topic_score_gemma":0.9952492,"domain_scores_codex":[0.9922386,0.0004945256,0.001323779,0.002173693,0.002008236,0.001761152],"domain_scores_gemma":[0.9921434,0.0002413604,0.0008681602,0.00542038,0.0004836355,0.0008430839],"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":[0.0001101094,0.0004972311,0.0001270383,0.0003106268,0.0005773959,0.001879048,0.00009009503,0.00001055817,0.00001939827,0.00001895585,0.996227,0.0001325881],"study_design_scores_gemma":[0.001025162,0.0001409539,0.002121049,0.0004785044,0.0008640646,0.0001315626,0.00005837815,0.000002712376,0.00001739612,0.0001024165,0.993144,0.001913815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001238196,0.001612894,0.00000309551,0.0002421607,0.001281293,0.0008186457,0.9908732,0.0005489285,0.004607374],"genre_scores_gemma":[7.902285e-7,0.0004767804,0.0006171367,0.00127883,0.001724056,0.0002717488,0.99145,0.0006139622,0.003566748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01078499,"threshold_uncertainty_score":0.9997882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000025055422181,"score_gpt":0.2591657920730965,"score_spread":0.2391655415188747,"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."}}