{"id":"W4250808337","doi":"10.3410/f.727145658.793545812","title":"Faculty Opinions recommendation of Selective lysosomal transporter degradation by organelle membrane fusion.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Organelle; Degradation (telecommunications); Transporter; Membrane; Fusion; Chemistry; Cell biology; Computer science; Biology; Biochemistry; Telecommunications; Gene; Philosophy","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":[0.001435841,0.002289531,0.001824139,0.003461509,0.000729251,0.002920263,0.002605256,0.002860689,0.0558056],"category_scores_gemma":[0.009200037,0.0005370706,0.001951138,0.004738424,0.0003261465,0.001690857,0.00176139,0.001573869,0.06169706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568865,"about_ca_system_score_gemma":0.0032866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275719,"about_ca_topic_score_gemma":0.0478151,"domain_scores_codex":[0.9984281,0.0002135608,0.0001984835,0.0004982541,0.0004573759,0.000204125],"domain_scores_gemma":[0.9967332,0.0009536229,0.0005191214,0.0006277543,0.0007870296,0.00037927],"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":[0.0002477646,0.0000342559,0.002398638,0.001767537,0.0001055429,0.00004007247,0.00001425624,0.0002887976,0.0002439213,0.0002722642,0.9903261,0.004260764],"study_design_scores_gemma":[0.0005466833,0.00005042586,0.009849243,0.0008642089,0.0002106155,0.000150666,0.00005119939,0.001051206,0.001003197,0.001279976,0.9848991,0.00004351514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002235533,0.0002966328,0.00005727852,0.0001124878,0.00003843735,0.00001038319,0.998265,0.0003261795,0.0006701064],"genre_scores_gemma":[0.000745601,0.0001934174,0.0002351865,0.0001020897,0.00001276733,0.00003776076,0.9978207,0.00005185558,0.0008006347],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0558056,"threshold_uncertainty_score":0.1866883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472260945904351,"score_gpt":0.3213803425273883,"score_spread":0.3066577330683448,"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."}}