{"id":"W7098672596","doi":"","title":"University of Alberta Multiple Kernel Learning with Many Kernels","year":2016,"lang":"en","type":"article","venue":"","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple kernel learning; Kernel (algebra); Set (abstract data type); Tree kernel; Kernel method; Function (biology); Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001616611,0.001432992,0.001292427,0.001513912,0.0008566056,0.003308945,0.001197436,0.001517155,0.03288026],"category_scores_gemma":[0.005367823,0.000588675,0.0008670382,0.002110815,0.0009811004,0.001208529,0.001801876,0.002231978,0.0219474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002978008,"about_ca_system_score_gemma":0.006134382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1439522,"about_ca_topic_score_gemma":0.1192949,"domain_scores_codex":[0.9988335,0.0001864353,0.0000480339,0.0003019424,0.0005268898,0.0001033394],"domain_scores_gemma":[0.9972887,0.0007243692,0.0001017371,0.0003271112,0.001325417,0.0002325777],"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":[0.0004322445,0.0001199228,0.001672537,0.0005294665,0.0001376724,0.0003352013,0.0001894764,0.05660113,0.00447639,0.05227668,0.191089,0.6921403],"study_design_scores_gemma":[0.0001245521,0.0001197082,0.004136124,0.0004243032,0.0001076437,0.0005083196,0.0001481695,0.3642564,0.007509723,0.06395779,0.5585268,0.0001804527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01592075,0.04380368,0.7146014,0.01440868,0.004137722,0.0001990324,0.005847415,0.01310285,0.1879785],"genre_scores_gemma":[0.1807808,0.02899992,0.4481906,0.001243938,0.001490588,0.000229688,0.01192077,0.001858826,0.325285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1439522,"threshold_uncertainty_score":0.2862287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292408234613734,"score_gpt":0.1612902119451472,"score_spread":0.1483661295990098,"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."}}