{"id":"W4312693274","doi":"10.1007/978-3-030-95995-1_12","title":"Model-Free Classification","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Taxonomy (biology); Set (abstract data type); Computer science; Data set; Geography; Artificial intelligence; Information retrieval; Biology; Ecology","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":[0.0009844064,0.001409972,0.001319324,0.001186394,0.0008741319,0.002549693,0.002659735,0.001578517,0.0523527],"category_scores_gemma":[0.003343967,0.0005808679,0.001284169,0.001527417,0.000807317,0.003934572,0.002362501,0.003103077,0.0484323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007706202,"about_ca_system_score_gemma":0.0009653121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013815,"about_ca_topic_score_gemma":0.00239125,"domain_scores_codex":[0.9990247,0.0001615663,0.0000387042,0.0002756029,0.0004156454,0.0000837277],"domain_scores_gemma":[0.9986746,0.0004283601,0.00004063663,0.000616039,0.0002039864,0.00003646176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000631122,0.00007077411,0.0002336672,0.0002289668,0.00005602625,0.00005374315,0.00004031511,0.01368073,0.001923748,0.1004551,0.1976002,0.6855936],"study_design_scores_gemma":[0.0000216532,0.0000526846,0.0005134349,0.0001418036,0.00005716302,0.0004155318,0.00004006474,0.2463005,0.006007253,0.423089,0.3233159,0.00004508949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002485676,0.00384438,0.8540176,0.002072011,0.001478306,0.0001455915,0.001572582,0.006522314,0.1278615],"genre_scores_gemma":[0.08724271,0.004841835,0.4140689,0.003139714,0.001717058,0.0004503132,0.009762892,0.003236106,0.4755405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0523527,"threshold_uncertainty_score":0.1751372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111124745938666,"score_gpt":0.2491976192293219,"score_spread":0.2080863717699352,"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."}}