{"id":"W2021146458","doi":"10.1111/j.1749-6632.2002.tb04533.x","title":"The Bioinformatics of Molecular Interactions","year":2002,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Library science; Annals; Citation; Medicine; Classics; History; 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":[0.004387493,0.0009910455,0.002090926,0.00344745,0.001126426,0.003714687,0.00165482,0.001382248,0.00638734],"category_scores_gemma":[0.02186913,0.001005514,0.001542733,0.003097988,0.002365249,0.005937857,0.002691924,0.005717899,0.004267969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164731,"about_ca_system_score_gemma":0.001823743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671846,"about_ca_topic_score_gemma":0.002082529,"domain_scores_codex":[0.9975237,0.001175532,0.0001444781,0.0004695455,0.00060104,0.00008570347],"domain_scores_gemma":[0.9845641,0.01071743,0.0007280717,0.00228931,0.001166696,0.0005345464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004981495,0.0002614651,0.005206345,0.00112381,0.0003205085,0.0001619899,0.0002875273,0.07524932,0.008191513,0.4371747,0.1155163,0.3560084],"study_design_scores_gemma":[0.00005997102,0.00004987634,0.001589157,0.00008757127,0.00006422072,0.0001107137,0.00005576257,0.2089071,0.002733821,0.7055352,0.08076946,0.00003715778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01932671,0.02350471,0.8909379,0.02936285,0.002092724,0.0001160624,0.008544882,0.01006254,0.01605161],"genre_scores_gemma":[0.3657182,0.03813246,0.5435563,0.005183295,0.004014355,0.0007091609,0.03026161,0.001972282,0.01045238],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00638734,"threshold_uncertainty_score":0.02320361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05211120268701908,"score_gpt":0.3044438486053887,"score_spread":0.2523326459183696,"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."}}