{"id":"W6923169199","doi":"10.1371/journal.pone.0115231.g001","title":"Annual distribution of the Canadian ivory gull.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Line (geometry); Kernel (algebra); Enhanced Data Rates for GSM Evolution; Structural basin","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":[0.0001495482,0.0003419718,0.0001422812,0.002390505,0.001152541,0.0005198682,0.0004359885,0.0001432511,0.00823148],"category_scores_gemma":[0.0003497085,0.0001110789,0.0001826154,0.002345044,0.0003391299,0.0001322836,0.000306693,0.0001980327,0.001408472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007304026,"about_ca_system_score_gemma":0.005495473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989338,"about_ca_topic_score_gemma":0.9972524,"domain_scores_codex":[0.9998482,0.000004103804,0.000004992632,0.00003233765,0.00004805153,0.00006227309],"domain_scores_gemma":[0.9995136,0.00001100423,0.00005255154,0.0000137658,0.0002946726,0.0001143626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002534755,0.00003071718,0.6708355,0.0004637031,0.0001919057,0.0004302755,0.002905138,0.001605136,0.004776278,0.003132691,0.2161824,0.0991928],"study_design_scores_gemma":[0.000003190743,0.000008955986,0.9396905,0.00004923693,0.00001999105,0.0000955727,0.000843857,0.0001984741,0.0001395895,0.00004292752,0.0588927,0.00001494123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6184738,0.005163725,0.0008815321,0.0009089501,0.0001625506,0.00009068676,0.2649561,0.0006278981,0.1087348],"genre_scores_gemma":[0.8882064,0.002638059,0.001463988,0.0001758219,0.00002737322,0.00003573111,0.05506212,0.0001297792,0.05226071],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01066196,"threshold_uncertainty_score":0.05299467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242180873945717,"score_gpt":0.22349470521692,"score_spread":0.2010728964774628,"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."}}