{"id":"W4290734813","doi":"10.2312/3dor.20181053","title":"SHREC 2018 - Protein shape retrieval","year":2018,"lang":"","type":"article","venue":"Espace ÉTS (ETS)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Information retrieval; Computer science","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":[0.001458251,0.002560621,0.002116214,0.002434727,0.0009344228,0.002859074,0.003959226,0.002496674,0.1042955],"category_scores_gemma":[0.003922638,0.0009612367,0.002148004,0.00204282,0.0006884765,0.003785055,0.003406369,0.00260425,0.1360111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190608,"about_ca_system_score_gemma":0.001411477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003054856,"about_ca_topic_score_gemma":0.004584081,"domain_scores_codex":[0.9984974,0.0001281668,0.00007715906,0.0003695592,0.0007391396,0.0001886429],"domain_scores_gemma":[0.9982247,0.0002269245,0.0000493952,0.0009857756,0.0003515728,0.0001617723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005713781,0.0001121837,0.0002780535,0.0003292693,0.00007288253,0.0001108841,0.00002943982,0.002667255,0.013207,0.00810438,0.795165,0.1793523],"study_design_scores_gemma":[0.000448669,0.0002150456,0.001209383,0.000120544,0.00005314255,0.000551735,0.00004747423,0.09136093,0.04190896,0.036294,0.8276709,0.0001191453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.0107656,0.002957548,0.2790757,0.002211391,0.003291302,0.0004503604,0.06914988,0.5735288,0.05856964],"genre_scores_gemma":[0.04663087,0.001541496,0.3048498,0.001440509,0.0008649628,0.0006054664,0.4589917,0.05572837,0.1293468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1042955,"threshold_uncertainty_score":0.3489032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715989133811315,"score_gpt":0.2852715340724541,"score_spread":0.268111642734341,"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."}}