{"id":"W6907714348","doi":"10.24433/co.3573560.v1","title":"Faust Ontology - Feature Vector Extraction and Clustering","year":2019,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Cluster analysis; Pattern recognition (psychology); Feature extraction; Feature (linguistics); Support vector machine; FAUST; Fuzzy clustering","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":[0.0008857032,0.001777465,0.0007515036,0.004767148,0.001028846,0.002358342,0.001906706,0.001069471,0.0208212],"category_scores_gemma":[0.005759821,0.0007930774,0.001882026,0.003471697,0.000560827,0.003215506,0.002195429,0.001599677,0.02343879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162876,"about_ca_system_score_gemma":0.002540938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03151155,"about_ca_topic_score_gemma":0.03834673,"domain_scores_codex":[0.9984251,0.0001138364,0.0001446785,0.0003508374,0.0007865025,0.0001789597],"domain_scores_gemma":[0.998609,0.0002467188,0.0000983515,0.000439356,0.000545884,0.00006072369],"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":[0.0004044298,0.0002545284,0.003522037,0.001011919,0.000163479,0.0003416291,0.0005170252,0.009786801,0.0196699,0.0276213,0.5118864,0.4248205],"study_design_scores_gemma":[0.0001038959,0.00008828999,0.005802087,0.0002359288,0.00009403154,0.0007751901,0.0002584705,0.1491437,0.063017,0.03855277,0.7417039,0.0002247341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.007817301,0.0003807698,0.5188418,0.0004966349,0.0002258393,0.000406743,0.08665034,0.3625701,0.02261053],"genre_scores_gemma":[0.05475425,0.000470794,0.5731694,0.0003211425,0.00005854358,0.0005770687,0.3169049,0.02963842,0.02410551],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03151155,"threshold_uncertainty_score":0.06965393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017977915482367,"score_gpt":0.2821194022951983,"score_spread":0.2641414868128313,"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."}}