{"id":"W6929837218","doi":"10.5203/0034463","title":"Manitoba Great Lakes","year":2017,"lang":"hu","type":"dataset","venue":"UMANCEOS","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishing; Natural (archaeology); Feature (linguistics); Climate change","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002606338,0.000714627,0.001066027,0.0001732842,0.0006014195,0.0002346048,0.001149033,0.0007863032,0.002138064],"category_scores_gemma":[0.002035554,0.000643719,0.0002751831,0.00007389626,0.0004196744,0.0001704812,0.0004753681,0.001190813,0.02352286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160338,"about_ca_system_score_gemma":0.0002573463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275617,"about_ca_topic_score_gemma":0.003852901,"domain_scores_codex":[0.9969639,0.00007008322,0.0005210745,0.0008573075,0.0007280302,0.000859632],"domain_scores_gemma":[0.9956002,0.0003817241,0.0005385553,0.002827705,0.0001550651,0.000496794],"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":[0.0001775754,0.000175478,0.002636629,0.0007463428,0.000228858,0.001820502,0.00003477469,0.000002979295,0.000004740396,0.00003617889,0.9825475,0.01158839],"study_design_scores_gemma":[0.001840636,0.0005274302,0.01022843,0.004318878,0.0009619652,0.0001280216,0.00006245769,0.00003675399,0.00005479616,0.0001205643,0.9810412,0.0006788758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001404399,0.008344233,0.00004618957,0.0003988679,0.003756496,0.0007608555,0.9748791,0.0001375202,0.01027228],"genre_scores_gemma":[0.005158865,0.005100956,0.0001877136,0.0007044217,0.006451391,0.00006840662,0.9732064,0.00007954093,0.009042277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02138479,"threshold_uncertainty_score":0.9996014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589577329469724,"score_gpt":0.3083206367969908,"score_spread":0.2724248635022936,"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."}}