{"id":"W6990833783","doi":"","title":"Elite-driven support vector machines for classification","year":2024,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Support vector machine; Decision boundary; Structured support vector machine; Classifier (UML); Soundness; Linear classifier; Set (abstract data type); Decision support system; Boundary (topology)","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":[0.003417609,0.001103366,0.001044913,0.001274914,0.0004336121,0.001565735,0.001713028,0.00134517,0.001868454],"category_scores_gemma":[0.01047509,0.0004622697,0.0008330672,0.001449176,0.001015885,0.002424275,0.001496357,0.002975066,0.0009145336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142077,"about_ca_system_score_gemma":0.000796676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008691396,"about_ca_topic_score_gemma":0.0007238066,"domain_scores_codex":[0.9980778,0.0006912404,0.0001238005,0.0002991668,0.000699225,0.000108753],"domain_scores_gemma":[0.9965669,0.001994181,0.000298153,0.0003171912,0.0007340031,0.00008959683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009842103,0.00009630749,0.001712265,0.0003130939,0.0001171994,0.00008245342,0.0001763503,0.5633754,0.003867537,0.1745366,0.004716856,0.2509075],"study_design_scores_gemma":[0.000003780128,0.00003458113,0.0001285553,0.00002315647,0.000004490314,0.00001742044,0.000009224596,0.9560316,0.000780682,0.04119065,0.001767435,0.000008441674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003504588,0.0007262229,0.9943351,0.0001744613,0.00004615936,0.00002742412,0.00003927879,0.0001835783,0.0009631122],"genre_scores_gemma":[0.4078788,0.003030279,0.5820958,0.0004083941,0.0004767588,0.0004418115,0.0006555388,0.0001858476,0.004826803],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003417609,"threshold_uncertainty_score":0.01807427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220295233243774,"score_gpt":0.2397347420944221,"score_spread":0.2177052187700447,"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."}}