{"id":"W6931762730","doi":"10.5683/sp3/7v8lqw","title":"Tornado Mountain (East) Alberta / British Columbia. 1:50,000. Map Sheet 082G15, ed. 1, 1960","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tornado; Georeference; Orthophoto; General partnership; Natural (archaeology); Aerial photography; Raster graphics; 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":[0.0004557132,0.001936054,0.001288913,0.005326333,0.001530397,0.003516324,0.001881737,0.0006422299,0.1057297],"category_scores_gemma":[0.002242883,0.0008086301,0.0005761478,0.02455041,0.0004008706,0.0008504785,0.0009545311,0.001244634,0.07524161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007979648,"about_ca_system_score_gemma":0.01808569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9530109,"about_ca_topic_score_gemma":0.9694587,"domain_scores_codex":[0.9994805,0.0000225168,0.00003941057,0.0001254737,0.0001912767,0.0001408174],"domain_scores_gemma":[0.9981757,0.00008778895,0.0001152973,0.0001502492,0.001261258,0.0002095542],"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":[0.00001973638,0.000004222594,0.0009199906,0.000255713,0.00001072097,0.00001455683,0.00002440241,0.00009062982,0.00002532817,0.0001800623,0.9951368,0.003317829],"study_design_scores_gemma":[0.0000575767,0.000003663843,0.01949758,0.0003391608,0.00001776745,0.00002842897,0.0002121317,0.0001401071,0.0001147307,0.0002503889,0.9793148,0.00002374235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009488154,0.00008044785,0.00001758443,0.00002224256,0.00001491318,0.000005585024,0.997768,0.00007826366,0.001918116],"genre_scores_gemma":[0.0008251333,0.0002217361,0.0001841889,0.00002534883,0.000005972869,0.00003805408,0.992287,0.00006015276,0.006352453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1057297,"threshold_uncertainty_score":0.3537012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007028067039274812,"score_gpt":0.2283343675279342,"score_spread":0.2213063004886594,"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."}}