{"id":"W6944967797","doi":"10.25345/c5p844629","title":"MassIVE MSV000092542 - Subtiligase N-terminomics for identification of cleavage sites in mice brain and immunoprecipitated PrP","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cleavage (geology); Identification (biology); Immunoprecipitation; Central nervous system; In vitro","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001352464,0.0006286309,0.0009626804,0.001200757,0.0001063334,0.0001472764,0.0007975389,0.0005567978,0.00004624057],"category_scores_gemma":[0.00211487,0.0007302837,0.0001893612,0.0007831865,0.0004088584,0.0003039751,0.0003460067,0.0004665616,0.001928794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845175,"about_ca_system_score_gemma":0.0001656513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005907436,"about_ca_topic_score_gemma":0.004847997,"domain_scores_codex":[0.9961601,0.0002868306,0.001501018,0.001052233,0.0003665977,0.0006332176],"domain_scores_gemma":[0.9956596,0.001428164,0.001413261,0.001153684,0.0002162057,0.0001290704],"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":[0.0004846721,0.0001993055,0.0001446108,0.0009277645,0.000148795,0.00005792716,0.0002837192,0.0000125433,0.05337486,0.00001592505,0.9441384,0.0002114926],"study_design_scores_gemma":[0.01255086,0.001201336,0.06033309,0.002804642,0.001828857,0.00007139278,0.002851655,0.002494748,0.1036122,0.003505878,0.8037095,0.00503584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1392443,0.0004347863,0.00000403593,0.00004293006,0.0003289257,0.00186024,0.8579758,0.0001005967,0.00000832696],"genre_scores_gemma":[0.007128438,0.0001729361,0.0001034561,0.00004708005,0.0001076988,0.0003414896,0.9914492,0.0002459821,0.0004036735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1404289,"threshold_uncertainty_score":0.9995148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377442797457045,"score_gpt":0.2968782721919312,"score_spread":0.2731038442173608,"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."}}