{"id":"W6968119745","doi":"10.5281/zenodo.1292784","title":"research-iobserve/jpetstore-6: Single Archive JPetStore with iObserve instrumentation","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Instrumentation (computer programming); Data acquisition; Key (lock); Component (thermodynamics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003182892,0.003432852,0.00280643,0.005099233,0.001658638,0.006217806,0.006740098,0.003012336,0.5878242],"category_scores_gemma":[0.01085449,0.002344746,0.001599599,0.005772209,0.001016225,0.009092153,0.004357032,0.004583017,0.6821928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566549,"about_ca_system_score_gemma":0.002460868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906564,"about_ca_topic_score_gemma":0.002694745,"domain_scores_codex":[0.9973623,0.0002184139,0.0002032927,0.0006760294,0.001173635,0.00036637],"domain_scores_gemma":[0.9930565,0.0008121714,0.0002882105,0.003138526,0.001993274,0.0007112743],"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":[0.0002757536,0.00003853829,0.000188194,0.0002563276,0.00002795926,0.00003600168,0.0000405874,0.0001660407,0.002649948,0.001721962,0.9736692,0.02092956],"study_design_scores_gemma":[0.0001336243,0.00003142558,0.0006306616,0.00008030429,0.00002631659,0.0001117191,0.00003104385,0.001140879,0.01590011,0.003947847,0.9778734,0.00009272199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001314794,0.0004238215,0.04617952,0.000797488,0.001559126,0.0002545925,0.2914394,0.5467626,0.1112687],"genre_scores_gemma":[0.009039999,0.000556722,0.04032641,0.0005584931,0.0005673208,0.0007616319,0.5014725,0.3446936,0.1020233],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4121758,"threshold_uncertainty_score":0.5879188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723348627373085,"score_gpt":0.2600930621648237,"score_spread":0.2328595758910929,"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."}}