{"id":"W2115654034","doi":"10.2174/1568026023394641","title":"Applications of Computer Software for the Interpretation and Management of Mass Spectrometry Data in Pharmaceutical Science","year":2002,"lang":"en","type":"review","venue":"Current Topics in Medicinal Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Bottleneck; Computer science; Timeline; Software; Focus (optics); Throughput; Data mining; Data science; Operating system; Embedded system","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":[],"consensus_categories":[],"category_scores_codex":[0.0003731148,0.0002279747,0.0006628279,0.00007669401,0.00003537575,0.00001286623,0.001188623,0.0001407788,0.0001007194],"category_scores_gemma":[0.00007552686,0.000175742,0.0001027749,0.0006997017,0.0007168112,0.0000428829,0.0003521325,0.0005308086,2.950378e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008380463,"about_ca_system_score_gemma":0.00007974032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.126228e-7,"about_ca_topic_score_gemma":1.509904e-7,"domain_scores_codex":[0.998167,0.000007935532,0.0007212158,0.0005090113,0.0003661999,0.0002285702],"domain_scores_gemma":[0.9985181,0.0003248869,0.0002775201,0.0007433255,0.00006119975,0.00007493274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006229585,0.0001326472,0.0001496571,0.1422145,0.00006967797,0.000002683874,0.00002108699,8.18232e-7,0.00003422183,0.0001299197,0.00005360215,0.8571849],"study_design_scores_gemma":[0.001472457,0.00002143265,0.00002766971,0.06074169,0.002370184,0.00004593117,0.0003031961,0.01176522,0.002423301,0.0007140498,0.9193728,0.000742106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003948367,0.9770631,0.02166515,0.00002010749,0.00005925475,0.0002897108,0.0001306786,0.00000963508,0.0007229045],"genre_scores_gemma":[0.00093695,0.9961573,0.002296996,0.000003098325,0.0002298701,0.0001155785,0.0002056421,0.00001248276,0.0000420064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9193192,"threshold_uncertainty_score":0.716655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07812879178447274,"score_gpt":0.405020530707824,"score_spread":0.3268917389233512,"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."}}