{"id":"W7028778038","doi":"","title":"GenMark Diagnostics Reports Fourth Quarter and Full Year 2017 Results","year":2018,"lang":"en","type":"other","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Feature (linguistics); Data collection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005929382,0.0001516025,0.000161067,0.00007491514,0.00001504859,0.00003230577,0.00002983818,0.0002702699,0.001016011],"category_scores_gemma":[0.00004743598,0.0001261413,0.00003663902,0.0000388593,0.00003562642,0.00001330447,0.00001364235,0.0000984795,0.000486333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009719614,"about_ca_system_score_gemma":0.000003196008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003537355,"about_ca_topic_score_gemma":0.0001937351,"domain_scores_codex":[0.9993993,0.000006259276,0.0001681011,0.0001962711,0.00008760001,0.0001424364],"domain_scores_gemma":[0.9995934,0.00002417034,0.00004081212,0.0002537639,0.00001314511,0.00007471199],"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":[0.000002744257,0.000003379162,0.00001183714,0.00003609972,0.00003261926,0.00004123483,0.000005562875,0.000001844213,0.00001932007,0.00001778797,0.9992959,0.0005317001],"study_design_scores_gemma":[0.0001070725,0.00004937352,0.00019106,0.00008158458,0.00003301429,0.00003282915,0.000006758823,0.001274912,0.00004142829,0.00007533318,0.9978949,0.000211686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001484475,0.0002525532,0.0009975043,0.00004054459,0.0007552431,0.00008944279,0.00002565327,0.0003467128,0.9973439],"genre_scores_gemma":[0.00543745,0.001800292,0.00209315,0.00003049656,0.001481505,0.000003551768,0.00002498122,0.0002673099,0.9888613],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008482634,"threshold_uncertainty_score":0.9998972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007018585107428559,"score_gpt":0.199412768697345,"score_spread":0.1923941835899164,"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."}}