{"id":"W6968993176","doi":"10.5683/sp3/ms3rn7","title":"Parry Sound (West) Ontario. 1:50,000. Map Sheet 041H08, ed. 1, 1956","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; PARRY; Digital mapping; Raster graphics; Aerial photography; Natural (archaeology); Geographic information system; 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":[0.0004636989,0.001878813,0.00128371,0.004988801,0.001698823,0.003118161,0.001817204,0.0006441812,0.1512194],"category_scores_gemma":[0.00283118,0.001027618,0.0006906849,0.01885036,0.0005895285,0.001249474,0.001121008,0.001019968,0.1152545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009611032,"about_ca_system_score_gemma":0.01806131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9246147,"about_ca_topic_score_gemma":0.9595624,"domain_scores_codex":[0.9992777,0.00002903397,0.00005341029,0.0001727873,0.0002947492,0.0001724716],"domain_scores_gemma":[0.9978918,0.000113596,0.0001683967,0.0002405828,0.001363148,0.0002224459],"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":[0.00001908943,0.000003271565,0.0008080932,0.0002855404,0.000008412019,0.00001228254,0.0000486535,0.00005624051,0.00003747062,0.0002176182,0.9953791,0.003124268],"study_design_scores_gemma":[0.00003407389,0.000003009496,0.01124124,0.0001489372,0.000009038123,0.00002015804,0.0001392103,0.00005134558,0.00007123809,0.0001377857,0.9881306,0.00001338105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008087875,0.00007076897,0.00002318055,0.0000305073,0.00001688887,0.00000608858,0.9972824,0.00009903105,0.002390222],"genre_scores_gemma":[0.000830625,0.0001932911,0.00022038,0.00002775055,0.000008960279,0.00004335957,0.9903662,0.0001176147,0.008191672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1512194,"threshold_uncertainty_score":0.5058793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296719932451222,"score_gpt":0.2684894896910176,"score_spread":0.2455222903665054,"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."}}