{"id":"W3157410578","doi":"10.30862/jn.v15i1.26","title":"Karakterisasi Nukleotida Daerah Ekson 5 dan 6 Gen LDLR Penduduk Papua","year":2019,"lang":"id","type":"article","venue":"Jurnal Natural","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Internal medicine; Molecular biology; Chemistry; Biology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004885014,0.0005857724,0.0005419545,0.0007242851,0.0006490636,0.001447435,0.0003830704,0.000783179,0.008103203],"category_scores_gemma":[0.0006756883,0.0005494399,0.0006823936,0.0005299716,0.000532845,0.0004700925,0.0007040734,0.0007375175,0.00197179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004621113,"about_ca_system_score_gemma":0.0005766774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004702357,"about_ca_topic_score_gemma":0.004418303,"domain_scores_codex":[0.9993926,0.0001001866,0.00004533507,0.0002002953,0.0001492283,0.0001121694],"domain_scores_gemma":[0.9994705,0.0001207179,0.0001576064,0.00005569568,0.0001392916,0.00005612063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007372315,0.0001465706,0.07195934,0.0009652686,0.0002564153,0.004597174,0.00182715,0.0002927084,0.8367208,0.001381837,0.001128568,0.07998691],"study_design_scores_gemma":[0.00005584786,0.0009513182,0.3680903,0.0003258023,0.0007830814,0.01811788,0.003818793,0.001453266,0.5133385,0.001837038,0.09110501,0.0001230991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634824,0.007190744,0.01179498,0.0008072463,0.000158972,0.00009311161,0.001068498,0.0003737332,0.01503034],"genre_scores_gemma":[0.9511809,0.003463945,0.01209623,0.000371916,0.00003826966,0.00009056403,0.001020136,0.00007340656,0.03166462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008103203,"threshold_uncertainty_score":0.02710789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003697078338768732,"score_gpt":0.2352909176877047,"score_spread":0.231593839348936,"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."}}