{"id":"W6950479331","doi":"10.5683/sp3/ospjcj","title":"Owen Sound Ontario. 1:50,000. Map Sheet 041A10, ed. 7, 1999","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; Digital mapping; Aerial photography; Sound (geography); Natural (archaeology); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008307807,0.001485704,0.001683803,0.0005929181,0.000330646,0.0007706038,0.002299082,0.001393006,0.01201544],"category_scores_gemma":[0.0003387895,0.001540589,0.0006635009,0.000489058,0.0003274838,0.000363074,0.001093483,0.001995365,0.009198977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002194229,"about_ca_system_score_gemma":0.001726086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9564006,"about_ca_topic_score_gemma":0.9835441,"domain_scores_codex":[0.9930435,0.0004228827,0.001158072,0.001941169,0.001836768,0.001597626],"domain_scores_gemma":[0.9928565,0.0002096679,0.0008204705,0.005041981,0.0003657758,0.0007055748],"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":[0.0001090965,0.0003489264,0.0001200233,0.0002604828,0.0006120934,0.001277373,0.0001538822,0.00001108421,0.000008555865,0.00003048111,0.9969903,0.00007771314],"study_design_scores_gemma":[0.0008379452,0.00008766668,0.001308505,0.000321895,0.0008756673,0.0001300608,0.00007829778,0.000001685329,0.00001138121,0.0003267878,0.9943075,0.001712675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001420138,0.002139705,0.000003500713,0.0001731075,0.001348511,0.0007548425,0.9910219,0.000336946,0.004207233],"genre_scores_gemma":[0.000001560157,0.0002680233,0.0003662581,0.0009087477,0.001904779,0.0002399334,0.9928559,0.0004515561,0.003003216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02714343,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196911115310921,"score_gpt":0.2630099311616494,"score_spread":0.2433188196305573,"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."}}