{"id":"W4244478947","doi":"10.1007/978-1-4939-7131-2_100605","title":"Link-Based Classification","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"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":[0.001410404,0.001663337,0.001145105,0.004045998,0.001352213,0.003897112,0.003709282,0.001621006,0.05095403],"category_scores_gemma":[0.004050187,0.0005852439,0.001583345,0.004704169,0.0009238402,0.005852146,0.002884188,0.002531935,0.0505144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387066,"about_ca_system_score_gemma":0.001224723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902769,"about_ca_topic_score_gemma":0.003859791,"domain_scores_codex":[0.9986313,0.0001412904,0.00008570001,0.0004748893,0.0005489523,0.0001178734],"domain_scores_gemma":[0.9982504,0.0004953836,0.00007331086,0.0006130556,0.0005033138,0.00006440162],"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":[0.00005321478,0.00008799123,0.0004326768,0.0002090337,0.00004799885,0.00003805087,0.00004660023,0.005840909,0.002152536,0.04067411,0.1097072,0.8407096],"study_design_scores_gemma":[0.00002306529,0.00008098326,0.001353754,0.000326898,0.0001064756,0.0004605883,0.0001342292,0.2407292,0.01717522,0.2979893,0.4415305,0.00008979534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004801554,0.004824467,0.8666685,0.001825127,0.00179199,0.0003452476,0.005073832,0.01287766,0.1017917],"genre_scores_gemma":[0.07269189,0.005557233,0.6306391,0.001614965,0.001397526,0.0005952017,0.02584836,0.002567713,0.2590881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05095403,"threshold_uncertainty_score":0.1704582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748414886493301,"score_gpt":0.2578764017975161,"score_spread":0.2403922529325831,"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."}}