{"id":"W6920314640","doi":"10.6068/dp14ba7b5209791","title":"Trend 1997 - 2001. Statistics Canada. CANSIM: Health - Pregnancy and Births | Country: Canada | Table: Perinatal mortality, by sex | Variable: Both sexes | Units: , 1997-2001. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-116.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Health statistics; Population statistics; Socioeconomic status; Official statistics; Statistical analysis; Summary statistics; Economic statistics","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"],"consensus_categories":[],"category_scores_codex":[0.0006271799,0.0007044367,0.0008762844,0.00008850919,0.0002290396,0.0005856692,0.003051308,0.0003005372,0.0006621431],"category_scores_gemma":[0.00002557728,0.0006890377,1.444997e-7,0.0003458378,0.000137823,0.0005704437,0.001268735,0.000676432,0.0000109871],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990762,"about_ca_system_score_gemma":0.01644957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997901,"about_ca_topic_score_gemma":0.9994198,"domain_scores_codex":[0.9952562,0.0003238487,0.0008736103,0.001243747,0.001268936,0.001033643],"domain_scores_gemma":[0.9950545,0.0002654959,0.0007626493,0.003068784,0.00003942149,0.0008091381],"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":[0.000006411567,0.00004776533,0.00003043933,0.0007816624,0.0001440683,0.000288057,0.000003757879,0.00001079494,1.667528e-7,0.0009415171,0.9970906,0.000654761],"study_design_scores_gemma":[0.0004417516,0.0000925012,0.000001609046,0.00008826241,0.0000691391,0.0001899099,0.00003193782,0.07076187,5.085022e-9,5.598025e-7,0.9276389,0.0006834951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.407085e-7,0.00298876,0.000586176,0.00000688263,0.00086918,0.000498403,0.9935553,0.00009672877,0.001398442],"genre_scores_gemma":[0.000002752545,0.001931109,0.001085439,0.0006402947,0.0001556403,0.00001071381,0.9919634,0.0001398504,0.004070765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07075108,"threshold_uncertainty_score":0.9995561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612712063267089,"score_gpt":0.2610849139942152,"score_spread":0.2349577933615443,"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."}}