{"id":"W7084299890","doi":"","title":"SPECIFICATION CHANGES. SALEM LT. 85 EXPORT (CANADA).","year":2004,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Identification (biology); Work (physics); Process (computing); Yield (engineering)","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":[0.002073846,0.001609545,0.001484406,0.002896588,0.001796421,0.004864773,0.003124234,0.001701758,0.4814778],"category_scores_gemma":[0.01477016,0.001956381,0.001199615,0.01092228,0.0005941619,0.00180592,0.001164426,0.003210653,0.2016965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01931207,"about_ca_system_score_gemma":0.03628828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9285341,"about_ca_topic_score_gemma":0.9327233,"domain_scores_codex":[0.997129,0.0002790129,0.0002036041,0.0003088777,0.001445886,0.0006335586],"domain_scores_gemma":[0.9901488,0.002440353,0.0005606841,0.0007634027,0.005579027,0.0005077568],"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":[0.00006080705,0.00003135962,0.001165138,0.0001205312,0.00001355639,0.00002968944,0.00005315615,0.0005068859,0.00004434316,0.00211317,0.9889323,0.006929132],"study_design_scores_gemma":[0.0002797171,0.00003331931,0.01546717,0.0002421089,0.00006077734,0.00004753982,0.0004911445,0.001709396,0.0005217926,0.002269173,0.9788293,0.00004865253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009072638,0.0001864266,0.0007977338,0.001868219,0.0001512908,0.0001046295,0.8921149,0.00164942,0.1022202],"genre_scores_gemma":[0.01262966,0.0008452024,0.002539284,0.001043074,0.00009436267,0.0004495845,0.7267292,0.003024061,0.2526456],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4814778,"threshold_uncertainty_score":0.7396089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176613890688782,"score_gpt":0.2429861514997407,"score_spread":0.2212200125928529,"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."}}