{"id":"W6931659599","doi":"10.5683/sp3/ctvp0p","title":"Dundalk Ontario. 1:50,000. Map Sheet 041A01, ed. 6, 2011","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); Aerial photography; Digital mapping; Government (linguistics); Viewshed analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007869759,0.001437645,0.001646601,0.0005973437,0.0002972092,0.0005162043,0.002170504,0.001415701,0.03989509],"category_scores_gemma":[0.0002218158,0.001501303,0.0006510551,0.0003039489,0.0003058016,0.0003348495,0.001033868,0.001948049,0.02339115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769028,"about_ca_system_score_gemma":0.002097073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.965484,"about_ca_topic_score_gemma":0.9794755,"domain_scores_codex":[0.9933401,0.0004154451,0.001133922,0.001871549,0.001702922,0.001536047],"domain_scores_gemma":[0.9928451,0.0001638642,0.0007745012,0.005059239,0.0004355998,0.000721761],"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":[0.0001087362,0.0003815301,0.00009840706,0.0002531081,0.0005002483,0.001416436,0.00008795138,0.000004981333,0.00001244097,0.00003130743,0.9970047,0.0001001488],"study_design_scores_gemma":[0.0007733864,0.00009148887,0.002530908,0.0002947242,0.0007429048,0.0001270706,0.00004205306,0.000001292996,0.00002896924,0.000108246,0.9936109,0.001648123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006312044,0.001801554,0.00000210227,0.000250639,0.00157432,0.0006873697,0.9895335,0.0003383844,0.005805814],"genre_scores_gemma":[4.289004e-7,0.0004561862,0.0003706569,0.0008703423,0.001627582,0.0002344774,0.9891006,0.000425357,0.006914331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01650394,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855968718860916,"score_gpt":0.2542622474543723,"score_spread":0.2357025602657632,"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."}}