{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004185584,0.001303874,0.0008667401,0.002981994,0.0006390199,0.001457378,0.001447254,0.0009055777,0.03915171],"category_scores_gemma":[0.004183102,0.000534662,0.0007682472,0.007886285,0.0003100972,0.0004909846,0.0009969581,0.0008653071,0.03413174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566325,"about_ca_system_score_gemma":0.005128994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2827763,"about_ca_topic_score_gemma":0.417144,"domain_scores_codex":[0.9996204,0.00005293927,0.00003080261,0.0001359236,0.00008696463,0.00007299998],"domain_scores_gemma":[0.9987035,0.0003144516,0.0001556817,0.0002218702,0.0004176323,0.000186807],"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":[0.000114722,0.00001425985,0.003908672,0.0003763758,0.00005968042,0.00002986607,0.00002612713,0.0004453418,0.0000621728,0.0003640144,0.9910431,0.003555694],"study_design_scores_gemma":[0.0003875571,0.00001854786,0.02930423,0.0005945808,0.0001097746,0.00007952023,0.0001972506,0.001120732,0.0003524941,0.001251674,0.966548,0.00003559925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005040927,0.0001305761,0.00003612493,0.00007774639,0.00001608102,0.00000548735,0.9980247,0.0001939195,0.001011203],"genre_scores_gemma":[0.001453415,0.0001983216,0.0001851161,0.00006857605,0.00001064392,0.00004331757,0.9959543,0.00005335474,0.002033022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7172238,"threshold_uncertainty_score":0.5622606,"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."}}