{"id":"W3037925904","doi":"10.20382/jocg.v8i1a14","title":"Central Trajectories","year":2015,"lang":"en","type":"preprint","venue":"Journal of Computational Geometry (Carleton University)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Danmarks Grundforskningsfond; National Research Foundation","keywords":"Trajectory; Centrality; Combinatorics; RADIUS; Cluster (spacecraft); Cluster analysis; Set (abstract data type); Physics; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004548576,0.0002467847,0.0004359401,0.001644683,0.00009001813,0.0003575865,0.002450177,0.0001433774,0.00002618337],"category_scores_gemma":[0.00005969373,0.0002593813,0.0002949728,0.001087938,0.00007102116,0.001269562,0.001550719,0.0006428237,0.00001012708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705178,"about_ca_system_score_gemma":0.0008727638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001527057,"about_ca_topic_score_gemma":0.000001539044,"domain_scores_codex":[0.9978499,0.0001228574,0.000419215,0.0003197709,0.0009987715,0.0002895032],"domain_scores_gemma":[0.9974579,0.0001278592,0.000833536,0.0003258219,0.0009741058,0.0002808356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001047483,0.0003782045,0.00180335,0.0001691758,0.0009627913,0.001889933,0.0007695828,0.7898395,0.000005076491,0.1200182,0.05466631,0.02939311],"study_design_scores_gemma":[0.005720398,0.0009825489,0.02754495,0.0006255062,0.0005762839,0.0003887353,0.001040807,0.2120792,0.00008022236,0.2031505,0.5455976,0.002213348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02430869,0.0002680916,0.9661035,0.0009494898,0.003388976,0.0001218546,0.00005456801,0.00006757434,0.004737266],"genre_scores_gemma":[0.6644813,0.000244068,0.3279112,0.0003536012,0.001875565,2.822842e-7,0.0001943926,0.00003948395,0.004900143],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6401726,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189977168603004,"score_gpt":0.228053883473357,"score_spread":0.2061541117873269,"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."}}