{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005002325,0.002047036,0.0009645568,0.006227191,0.001848217,0.007864311,0.002261691,0.003111989,0.4238492],"category_scores_gemma":[0.008828583,0.0007211819,0.001165551,0.002430503,0.001125377,0.002296145,0.002086301,0.002758992,0.4557957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00368664,"about_ca_system_score_gemma":0.007339352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006834343,"about_ca_topic_score_gemma":0.01098365,"domain_scores_codex":[0.9908731,0.0005936212,0.0002565669,0.0004864128,0.007026355,0.0007639524],"domain_scores_gemma":[0.9896718,0.0009111889,0.0004940932,0.001047957,0.00656603,0.001308868],"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":[0.00009641875,0.0001530344,0.0003674043,0.0001260643,0.000006264285,0.00004546974,0.00001858088,0.0001022393,0.001036116,0.001764904,0.9538229,0.04246071],"study_design_scores_gemma":[0.00002868234,0.00005111551,0.0007615993,0.00006747281,0.000007150795,0.00006202018,0.00003116234,0.0003023448,0.003624633,0.00122276,0.9938285,0.00001263007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002110363,0.001445318,0.00575826,0.00771791,0.01001178,0.0007661646,0.03550555,0.006964164,0.9297205],"genre_scores_gemma":[0.003564461,0.0008041417,0.001710821,0.00128547,0.0007907752,0.0002040873,0.01849573,0.001063029,0.9720814],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4238492,"threshold_uncertainty_score":0.8218092,"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."}}