{"id":"W4233637184","doi":"10.1007/978-1-4939-7131-2_100921","title":"Profile Similarity","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Similarity (geometry); Computer science; Artificial intelligence","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":[0.00090306,0.0008129025,0.000900065,0.002919259,0.001093901,0.00347169,0.001733446,0.001265689,0.02972808],"category_scores_gemma":[0.006427944,0.0003783599,0.0008071417,0.003606664,0.0006785726,0.005608185,0.00292181,0.001738473,0.02430989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124876,"about_ca_system_score_gemma":0.001286445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107507,"about_ca_topic_score_gemma":0.001128183,"domain_scores_codex":[0.9982659,0.0001958584,0.0001096851,0.0005140972,0.0008063762,0.0001081196],"domain_scores_gemma":[0.9983821,0.0002553709,0.00009048507,0.0006486031,0.0005316567,0.00009178545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007497089,0.0001166736,0.0007504289,0.0002197429,0.0000332136,0.00006513305,0.0001414701,0.002687065,0.004536187,0.1397472,0.05714645,0.7944814],"study_design_scores_gemma":[0.00002668127,0.0002287528,0.003006587,0.0002470373,0.0000773143,0.002684292,0.00045903,0.07574734,0.02280572,0.3486148,0.5459887,0.0001138585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01219349,0.004224099,0.7164968,0.001825594,0.001564905,0.0006010217,0.002227035,0.004467407,0.2563995],"genre_scores_gemma":[0.2907238,0.006548493,0.4159399,0.001266358,0.001369271,0.0006846614,0.00997314,0.001641277,0.2718531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02972808,"threshold_uncertainty_score":0.09945035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284885902350633,"score_gpt":0.2566789084863126,"score_spread":0.2281903182512493,"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."}}