{"id":"W6931784368","doi":"10.5683/sp3/yibads","title":"Little Drowning River Ontario. 1:50,000. Map Sheet 042K15, ed. 1, 1977","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Aerial photography; Natural (archaeology); Raster graphics; Government (linguistics); Topographic map (neuroanatomy); Digital mapping","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":[0.0003718532,0.001518738,0.001124989,0.004335508,0.001233581,0.002441195,0.001466596,0.0005257615,0.09288638],"category_scores_gemma":[0.002108688,0.0008333843,0.0005992436,0.01835365,0.0004443603,0.0008065015,0.0009271769,0.0007665813,0.0651057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009092866,"about_ca_system_score_gemma":0.01668938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9266833,"about_ca_topic_score_gemma":0.958333,"domain_scores_codex":[0.9994579,0.00002159931,0.00004366332,0.0001158271,0.0002300085,0.0001310679],"domain_scores_gemma":[0.9985834,0.00008307413,0.0001527779,0.0001444192,0.0008781312,0.0001581518],"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":[0.00002504179,0.00000549018,0.002061299,0.0004227098,0.00001394615,0.00002203694,0.00006397743,0.000133202,0.00005732302,0.0002832724,0.9919251,0.004986694],"study_design_scores_gemma":[0.00004337895,0.000004089197,0.02545803,0.000199593,0.00001451186,0.00002535371,0.0002006224,0.00010132,0.0001034707,0.0001807168,0.9736522,0.00001678457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001376002,0.00006102485,0.00002243669,0.00002581437,0.00001027254,0.000005766296,0.997826,0.00005947923,0.001851416],"genre_scores_gemma":[0.0009379666,0.0002223602,0.0001681885,0.00001877115,0.000005001563,0.00004446873,0.9919918,0.00005361094,0.0065579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09288638,"threshold_uncertainty_score":0.3107359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150222502959443,"score_gpt":0.2386260210450008,"score_spread":0.2271237960154064,"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."}}