{"id":"W2337894764","doi":"","title":"Quantitative proteomic analysis for identification of phosphorous acid-responsive proteins","year":2010,"lang":"en","type":"other","venue":"NPARC","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Chemistry; Computer science; Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007512076,0.0008685639,0.0008030346,0.001960302,0.0006628509,0.0006281338,0.0005481756,0.000584498,0.001659734],"category_scores_gemma":[0.0005718605,0.0003741664,0.000669563,0.002011339,0.000381222,0.0004441288,0.00046067,0.000843909,0.000933464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315854,"about_ca_system_score_gemma":0.0003104133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005963751,"about_ca_topic_score_gemma":0.00110922,"domain_scores_codex":[0.9991832,0.00009308268,0.00007676148,0.000223859,0.0003268923,0.00009630149],"domain_scores_gemma":[0.9996339,0.00009160006,0.000077311,0.00002456895,0.000134004,0.00003851271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001185772,0.00007123188,0.0006359918,0.0001500312,0.00002615835,0.00006123653,0.00004624951,0.00003220206,0.9959371,0.00005427901,0.0000775107,0.002789409],"study_design_scores_gemma":[0.00004306937,0.0009673494,0.08109923,0.00006544792,0.0001663369,0.001627658,0.0003643398,0.006766645,0.8965641,0.0003488225,0.01191611,0.00007097216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8674657,0.01037955,0.1023916,0.0004524006,0.0003256621,0.0009923935,0.009934233,0.0009623681,0.00709623],"genre_scores_gemma":[0.714987,0.01138758,0.2375596,0.0008614569,0.0002398082,0.002904532,0.01764022,0.0003938392,0.01402595],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9983402,"threshold_uncertainty_score":0.005552292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989198265403468,"score_gpt":0.2779624984646691,"score_spread":0.2480705158106345,"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."}}