{"id":"W6931872816","doi":"10.5683/sp3/mqtfaa","title":"Pic Island Ontario. 1:50,000. Map Sheet 042D10, ed. 1, 1967","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Aerial photography; Raster graphics; Natural (archaeology); Geographic information system; Topographic map (neuroanatomy); Digital mapping; Viewshed analysis","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":[0.0003384765,0.001441046,0.001102719,0.00390638,0.00128053,0.002589345,0.00130453,0.0004777604,0.1246024],"category_scores_gemma":[0.002317427,0.0007780808,0.0006109661,0.01771949,0.0004390125,0.0008993586,0.0008759358,0.0007945104,0.08870976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008390365,"about_ca_system_score_gemma":0.01378794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9211616,"about_ca_topic_score_gemma":0.9516876,"domain_scores_codex":[0.9995015,0.00002425575,0.00004241901,0.0001131625,0.0001944672,0.0001242106],"domain_scores_gemma":[0.9986462,0.00009125847,0.0001433362,0.0001368911,0.0008056287,0.0001767739],"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":[0.00002065834,0.000003341446,0.001165838,0.0003102117,0.000009471689,0.00001641721,0.00004396802,0.00006093386,0.00003364804,0.00020802,0.9952158,0.002911572],"study_design_scores_gemma":[0.00004153554,0.000003509027,0.01957316,0.0001831524,0.0000126792,0.00003037121,0.0001705221,0.00008351141,0.00007670881,0.0001506047,0.9796595,0.00001464998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001031948,0.00007943861,0.0000206373,0.00003661901,0.00001216559,0.000006326006,0.9974284,0.00006383753,0.00224937],"genre_scores_gemma":[0.001006216,0.0002630968,0.000194421,0.00002812158,0.000009481683,0.00005308018,0.98971,0.00007163936,0.008663917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1246024,"threshold_uncertainty_score":0.4168366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260812721425692,"score_gpt":0.2690855078644709,"score_spread":0.256477380650214,"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."}}