{"id":"W6950766924","doi":"10.5683/sp3/dwlcha","title":"Bulley Lake Ontario. 1:50,000. Map Sheet 041O05, ed. 3, 1991","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; Topographic map (neuroanatomy); Viewshed analysis; 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":[0.000399047,0.001874253,0.001269479,0.004784886,0.001459794,0.002632138,0.001735156,0.0005987849,0.1360518],"category_scores_gemma":[0.002308356,0.0009917666,0.0005966682,0.01984373,0.0004387719,0.001136153,0.001041558,0.0009087801,0.107097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008637107,"about_ca_system_score_gemma":0.01360713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8915098,"about_ca_topic_score_gemma":0.9429067,"domain_scores_codex":[0.9993957,0.00002621317,0.00004943881,0.0001412269,0.0002502919,0.0001371312],"domain_scores_gemma":[0.9984193,0.00009857638,0.0001633314,0.0001899231,0.0009506919,0.0001782261],"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":[0.00001377772,0.00000329161,0.0007543817,0.0002405978,0.000007775107,0.00001043805,0.00003335631,0.00005462811,0.00003209269,0.0001654832,0.9956744,0.00300969],"study_design_scores_gemma":[0.00002853511,0.000002791382,0.01410328,0.0001317168,0.00001031675,0.00001824071,0.0001168389,0.00007194238,0.00007499016,0.0001395695,0.9852884,0.00001338829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000825369,0.00005758532,0.00002053031,0.00002726049,0.000008974744,0.000004844421,0.9979931,0.00006698552,0.001738151],"genre_scores_gemma":[0.0005309453,0.0001507763,0.0001497585,0.0000174936,0.000004562378,0.00003745542,0.9931476,0.00005830294,0.005903156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1360518,"threshold_uncertainty_score":0.4551385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626217288905868,"score_gpt":0.2502353292668903,"score_spread":0.2339731563778317,"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."}}