{"id":"W4243476872","doi":"10.1126/science.312.5772.343b","title":"DATABASES: Protein Geography","year":2006,"lang":"en","type":"article","venue":"Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002357828,0.003083679,0.003371015,0.01110029,0.001603935,0.006344664,0.005079584,0.003746154,0.1105015],"category_scores_gemma":[0.01451951,0.001455805,0.001521715,0.0182814,0.0006302666,0.006468651,0.004732262,0.002616334,0.1599416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361014,"about_ca_system_score_gemma":0.004082758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00442952,"about_ca_topic_score_gemma":0.004073684,"domain_scores_codex":[0.9978675,0.0003409765,0.0006784947,0.0005119281,0.0004314389,0.0001696177],"domain_scores_gemma":[0.9951454,0.001255761,0.0006141489,0.001442841,0.001023358,0.0005185473],"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":[0.0005759607,0.0000786473,0.0009966923,0.006147607,0.0001994784,0.0002310394,0.0001837815,0.0006402145,0.003015205,0.008564942,0.946907,0.03245942],"study_design_scores_gemma":[0.0001711365,0.00002432745,0.001322145,0.0003766585,0.00005009279,0.0002455053,0.0001189859,0.000607113,0.001142998,0.007323128,0.9885674,0.00005061594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006927254,0.001560368,0.006654453,0.0005496421,0.0001356992,0.0001905673,0.9581745,0.02288846,0.009153512],"genre_scores_gemma":[0.002079474,0.001422355,0.01122854,0.0003709286,0.00004300228,0.0003629579,0.9799636,0.002477679,0.002051414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1105015,"threshold_uncertainty_score":0.3696643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051865641912732,"score_gpt":0.2800372634674073,"score_spread":0.26951860704828,"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."}}