{"id":"W2513849254","doi":"10.1371/journal.pone.0161474","title":"BRIDES: A New Fast Algorithm and Software for Characterizing Evolving Similarity Networks Using Breakthroughs, Roadblocks, Impasses, Detours, Equals and Shortcuts","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Similarity (geometry); Computer science; Software; Algorithm; Computational biology; Biology; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001696284,0.001635812,0.001095121,0.003388846,0.0009755893,0.002061664,0.002740792,0.001414134,0.01807513],"category_scores_gemma":[0.00960213,0.00126894,0.001937754,0.002433151,0.0008142161,0.004009269,0.002390969,0.002089429,0.004631835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009729299,"about_ca_system_score_gemma":0.001720312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005296787,"about_ca_topic_score_gemma":0.008312559,"domain_scores_codex":[0.9991615,0.0001762477,0.00007552761,0.0002623129,0.0002621347,0.00006226474],"domain_scores_gemma":[0.9975116,0.001503298,0.0002183924,0.0004032285,0.0002587474,0.0001046828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004844824,0.0002328006,0.004203502,0.001309426,0.000557571,0.0003582438,0.0007893108,0.1762292,0.0167527,0.08323281,0.0775008,0.6383491],"study_design_scores_gemma":[0.0001507197,0.00008075866,0.0007066365,0.00006452239,0.00005438701,0.0002903412,0.0001194545,0.8972584,0.007355455,0.05421817,0.03964235,0.00005881131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003022363,0.00008975228,0.9713973,0.00007317687,0.00003686353,0.0001002711,0.001235106,0.0228343,0.001210875],"genre_scores_gemma":[0.03240861,0.0001709805,0.9556099,0.00007615937,0.00002461045,0.0004737453,0.003800484,0.004030677,0.003404819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01807513,"threshold_uncertainty_score":0.06046736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04307155289782734,"score_gpt":0.2658913128315057,"score_spread":0.2228197599336784,"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."}}