{"id":"W2788096725","doi":"10.1145/3178876.3185993","title":"ROSC","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Spectral clustering; Similarity (geometry); Cluster analysis; Reachability; Data mining; Scale (ratio); Feature (linguistics); Competitor analysis; Artificial intelligence; Algorithm","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007961683,0.00003399397,0.00003238691,0.0000337593,0.00006291724,0.00006097933,0.0005774988,0.00001294264,0.00007864318],"category_scores_gemma":[0.00002377225,0.00002780334,0.00001046711,0.0002086998,0.00004792214,0.0002443491,0.0003594681,0.0000395321,0.00106222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001512179,"about_ca_system_score_gemma":0.00001696023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008022163,"about_ca_topic_score_gemma":0.000003178607,"domain_scores_codex":[0.9994623,0.00001005147,0.00004596377,0.0001587168,0.0001484067,0.0001745339],"domain_scores_gemma":[0.9994933,0.00001976173,0.000006977424,0.0003624786,0.00006432956,0.00005313538],"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":[0.000002716331,0.00003305548,0.0001252562,0.000003827099,0.00000608352,0.00001850822,0.0003585058,0.00002282821,0.006149878,0.152766,0.006168813,0.8343446],"study_design_scores_gemma":[0.0003182225,0.0003236831,0.00208302,0.000006435824,4.270513e-7,0.00004269304,0.00001703873,0.7502372,0.08255911,0.02442212,0.1397393,0.000250806],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008879551,0.000005319919,0.9456203,0.0005711332,0.0001549691,0.0000265823,7.009129e-8,0.0002105953,0.0525231],"genre_scores_gemma":[0.277447,0.000001566151,0.7094151,0.0003772222,0.0001639747,0.000004223521,8.275622e-8,0.00000438002,0.01258644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8340937,"threshold_uncertainty_score":0.9997156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939538079056311,"score_gpt":0.3199427341705084,"score_spread":0.3005473533799453,"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."}}