{"id":"W2297777977","doi":"10.5281/zenodo.11763","title":"seqware ls1.1.0-alpha.3","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Ontario Institute for Cancer Research","funders":"","keywords":"Alpha (finance); Computer science; Mathematics; Statistics","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":[0.0058582,0.004828156,0.004352874,0.003407047,0.002263152,0.006085509,0.009330142,0.00277389,0.2721739],"category_scores_gemma":[0.0108172,0.005153968,0.003941333,0.003243777,0.001266519,0.004233742,0.004230999,0.007136573,0.3520555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820627,"about_ca_system_score_gemma":0.003569571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878258,"about_ca_topic_score_gemma":0.00273387,"domain_scores_codex":[0.9968979,0.0006283043,0.0003303213,0.0009828238,0.0007961742,0.000364393],"domain_scores_gemma":[0.9951964,0.00185451,0.0003276,0.001281374,0.0009134764,0.0004266641],"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":[0.001738794,0.0001016263,0.00142277,0.002599527,0.0004548998,0.0002100265,0.0004375772,0.001417307,0.01964317,0.008882429,0.89886,0.0642319],"study_design_scores_gemma":[0.0004463786,0.0001924905,0.001376357,0.000464066,0.0002877201,0.0004523512,0.0001169325,0.008351847,0.0540373,0.01712708,0.9168085,0.0003389647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001969868,0.0005700341,0.1981955,0.0005017238,0.0009795799,0.0002777677,0.1466263,0.6369701,0.01390926],"genre_scores_gemma":[0.008378281,0.0005926186,0.1245252,0.001284656,0.0003099558,0.001003633,0.3450419,0.4836806,0.03518317],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2721739,"threshold_uncertainty_score":0.9105123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319168748006353,"score_gpt":0.2556193695591761,"score_spread":0.2324276820791126,"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."}}