{"id":"W7100705169","doi":"","title":"In","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Context (archaeology); Confidentiality; Work (physics); Government (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001168377,0.0008274131,0.000633666,0.00149251,0.001977148,0.006687068,0.001314386,0.001786003,0.3252732],"category_scores_gemma":[0.004299784,0.0003529807,0.0006469323,0.001551444,0.001182195,0.00360663,0.003301169,0.002052962,0.1671649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658869,"about_ca_system_score_gemma":0.002688814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002855421,"about_ca_topic_score_gemma":0.005332226,"domain_scores_codex":[0.9986268,0.0001740661,0.00008153033,0.0003703144,0.0005995732,0.0001475917],"domain_scores_gemma":[0.9977173,0.0003044626,0.0001116853,0.000632092,0.0009731074,0.0002613741],"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":[0.0001597127,0.0001038646,0.00163093,0.0003759537,0.0000254335,0.0002536139,0.0007280087,0.000922944,0.003497581,0.09901886,0.5525938,0.3406894],"study_design_scores_gemma":[0.00001036615,0.00001921188,0.0006755198,0.0001000434,0.000008802267,0.0001991033,0.0002566056,0.0004929741,0.001162874,0.01369087,0.9833722,0.00001159484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008621945,0.009131656,0.04218355,0.01680289,0.01282045,0.0002604992,0.004204315,0.003227119,0.9027475],"genre_scores_gemma":[0.03243716,0.004824308,0.01140724,0.00348754,0.001415707,0.0001818528,0.003867034,0.0009018694,0.9414772],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6747268,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005481206191174562,"score_gpt":0.2414179862226636,"score_spread":0.235936780031489,"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."}}