{"id":"W1987778911","doi":"10.1126/science.315.5812.583b","title":"Canadian Group Claims 'Unique' Database","year":2007,"lang":"en","type":"article","venue":"Science","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Database; Group (periodic table); Point (geometry); Geography; Political science; Computer science; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002808148,0.00156471,0.002065795,0.01283776,0.007477434,0.009870032,0.006429342,0.003945855,0.5431558],"category_scores_gemma":[0.0261764,0.0009844758,0.0009928548,0.02816185,0.001481725,0.003948517,0.003896817,0.002580644,0.3855935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01560814,"about_ca_system_score_gemma":0.08596424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6874913,"about_ca_topic_score_gemma":0.7046337,"domain_scores_codex":[0.994505,0.0002541229,0.0004661726,0.0005814601,0.003374261,0.0008189608],"domain_scores_gemma":[0.9763607,0.001493514,0.0007621269,0.003840134,0.01508418,0.002459296],"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":[0.00001796219,0.0000046188,0.00007805905,0.00006493775,0.000003076969,0.00001639438,0.00001741548,0.000007872639,0.00003179607,0.001493768,0.9912022,0.007061819],"study_design_scores_gemma":[0.000008591124,0.000001554195,0.0004369881,0.00006060962,0.000004808662,0.00002762187,0.00002866676,0.00002911605,0.00005723106,0.0004852982,0.9988475,0.00001195579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.0004713766,0.001223391,0.0009906456,0.007627774,0.002242889,0.0002301957,0.5924667,0.003659314,0.3910878],"genre_scores_gemma":[0.005540325,0.002780104,0.003664592,0.004375846,0.0004251163,0.0003627842,0.6769169,0.001930345,0.3040039],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5431558,"threshold_uncertainty_score":0.6516328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007236736121011744,"score_gpt":0.2594986122973471,"score_spread":0.2522618761763354,"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."}}