{"id":"W2149614597","doi":"10.1080/10629360310001624006","title":"New Fuzzy Logic Strategies for Bio-molecular Recognition","year":2003,"lang":"en","type":"review","venue":"SAR and QSAR in environmental research","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Complementarity (molecular biology); Molecular recognition; Fuzzy logic; Computer science; Artificial intelligence; Molecule; Molecular dynamics; Identification (biology); Biological system; Chemistry; Biology; Computational chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001751727,0.0002706591,0.0005335484,0.0004347041,0.0001161758,0.0002672829,0.0005990588,0.0002027713,0.00003554992],"category_scores_gemma":[0.00006978645,0.0002466416,0.0001769186,0.0004341879,0.0001420003,0.000329258,0.0004121909,0.0004971455,0.0001053096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682232,"about_ca_system_score_gemma":0.0004171255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166133,"about_ca_topic_score_gemma":0.000002635313,"domain_scores_codex":[0.9968278,0.0009650624,0.0003719571,0.0007616187,0.0005854965,0.0004880838],"domain_scores_gemma":[0.9985818,0.0008188079,0.00007738453,0.0003660937,0.00001101493,0.0001449333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003341633,0.0000521004,0.000001240705,0.0007915628,0.000017666,0.00001981285,0.0000443704,0.00002615848,0.000005760266,0.01072514,0.0001323818,0.9881805],"study_design_scores_gemma":[0.0002976239,0.0001831502,0.00001830475,0.0008868579,0.00002285082,0.00003983192,0.00008680175,0.0003500095,0.00001333076,0.3290047,0.6687274,0.0003691126],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003708666,0.9063414,0.09069896,0.0000453358,0.000127186,0.001052405,0.00004604968,0.00001426474,0.001637325],"genre_scores_gemma":[0.00003506042,0.9328259,0.0666078,0.00003830074,0.00005180091,0.00008534394,0.0001169057,0.00002791271,0.0002109427],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9878113,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1909957628478475,"score_gpt":0.445886656323402,"score_spread":0.2548908934755545,"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."}}