{"id":"W6931914518","doi":"10.5683/sp/wtemoo","title":"Bird survey data","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"Kidney Stones and Urolithiasis Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Latitude; Longitude; Geographic coordinate system; Survey data collection; Aerial survey","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005776663,0.001637824,0.001129328,0.002519014,0.0005982558,0.00127627,0.00173774,0.001151688,0.04978804],"category_scores_gemma":[0.002492845,0.0004695873,0.00102688,0.003744133,0.0002834069,0.0008325815,0.001188607,0.001337952,0.06261373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074532,"about_ca_system_score_gemma":0.001554792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04377988,"about_ca_topic_score_gemma":0.1110477,"domain_scores_codex":[0.9994342,0.00007570616,0.00006183544,0.0001656122,0.0001517481,0.0001109218],"domain_scores_gemma":[0.9988098,0.0002462181,0.0001318499,0.000227558,0.0004233146,0.0001612802],"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":[0.00005352623,0.00002725561,0.002693928,0.0003842513,0.00003478842,0.0000236225,0.00002754853,0.000277523,0.0001500432,0.000304854,0.9932299,0.002792741],"study_design_scores_gemma":[0.0001375538,0.00002382151,0.01382482,0.0002360278,0.00003706196,0.0000929572,0.0001584152,0.0007321544,0.0003466996,0.0006008732,0.9837772,0.00003251347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002279312,0.00003919756,0.00004626135,0.00003040187,0.00002406456,0.000006749926,0.9988775,0.0001866955,0.0005611707],"genre_scores_gemma":[0.0004222052,0.00003185295,0.0001865856,0.00002542516,0.000004407302,0.00002401359,0.9987953,0.00002739297,0.0004828276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04978804,"threshold_uncertainty_score":0.1665576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289674947566901,"score_gpt":0.3973752486729947,"score_spread":0.2684077539163047,"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."}}