{"id":"W6950495136","doi":"10.5683/sp3/zfodd9","title":"Barrys Bay (East) Ontario. 1:50,000. Map Sheet 031F05, ed. 2, 1957","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; Natural (archaeology); Aerial photography; Raster graphics; Bay; Topographic map (neuroanatomy); Geographic information system","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":[0.0003936553,0.001536804,0.001112945,0.00435554,0.001629095,0.002995995,0.001437139,0.0005340699,0.1363544],"category_scores_gemma":[0.002144045,0.0008611899,0.0006020261,0.01679165,0.0005571449,0.001108504,0.001068937,0.0008801529,0.0944673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01027045,"about_ca_system_score_gemma":0.01793463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9356325,"about_ca_topic_score_gemma":0.9701086,"domain_scores_codex":[0.9993412,0.00002318556,0.00004410029,0.0001467946,0.000290019,0.0001547408],"domain_scores_gemma":[0.9984033,0.0000764257,0.0001487009,0.0001780545,0.001019786,0.0001738944],"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":[0.00002441292,0.000004018376,0.001273548,0.0003064518,0.00001121751,0.00001796633,0.00007226902,0.00007262138,0.00005536024,0.0003095696,0.9930097,0.004842922],"study_design_scores_gemma":[0.00002626226,0.000002665316,0.01523191,0.0001313169,0.000008397973,0.0000197563,0.0001515145,0.00005280046,0.00007496633,0.0001355704,0.9841518,0.00001307803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001499055,0.0001154384,0.00003672422,0.00004087681,0.00002035283,0.000008557097,0.9953288,0.0001209828,0.004178339],"genre_scores_gemma":[0.001452292,0.0002835506,0.0002924658,0.00003393852,0.000009612695,0.00004779047,0.9847242,0.0001467299,0.01300954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1363544,"threshold_uncertainty_score":0.4561509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646304120585902,"score_gpt":0.2482570610626121,"score_spread":0.2317940198567531,"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."}}