{"id":"W6894313386","doi":"10.5683/sp3/llgm6c","title":"Grand Narrows (West) Nova Scotia. 1:50,000. Map Sheet 011F15, ed. 1, 1953","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Nova scotia; Natural (archaeology); Raster graphics; Government (linguistics); 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":[0.0002797302,0.001140518,0.0008203302,0.002493745,0.0008120586,0.002126294,0.001052078,0.0004139483,0.08946035],"category_scores_gemma":[0.002042152,0.0006242201,0.0005676138,0.009982547,0.0003217293,0.0005943281,0.0008192429,0.0007087715,0.07587261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004277987,"about_ca_system_score_gemma":0.008691362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8702897,"about_ca_topic_score_gemma":0.9170963,"domain_scores_codex":[0.999637,0.00002369925,0.00003201406,0.00009871158,0.0001076505,0.0001008795],"domain_scores_gemma":[0.9989117,0.00008428557,0.0001050998,0.0001355446,0.000623114,0.0001401813],"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":[0.00004271739,0.000003697599,0.001964058,0.0002996519,0.00001605264,0.00003507275,0.0000345255,0.0001278135,0.00005213086,0.0002311728,0.993628,0.003565217],"study_design_scores_gemma":[0.00006619094,0.000005667016,0.032859,0.0003528368,0.00001718292,0.00005380214,0.0002012187,0.0001475217,0.0001329024,0.0002349376,0.9659086,0.00002011145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002160516,0.0001328991,0.0000240345,0.00003426269,0.00002464753,0.000005682882,0.9972178,0.00007745827,0.002267163],"genre_scores_gemma":[0.00210136,0.0002723863,0.0001745064,0.00004030832,0.000009869108,0.00003516338,0.9882433,0.00008538335,0.009037789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1297103,"threshold_uncertainty_score":0.2992747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156426095227376,"score_gpt":0.3200330244618981,"score_spread":0.2884687635096244,"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."}}