{"id":"W1537079998","doi":"10.3233/fun-2004-59403","title":"Trajectory-Based Embedding Relations","year":2004,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Embedding; Trajectory; Computer science; Mathematics; Theoretical computer science; Artificial intelligence; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001181325,0.0001045645,0.00008365609,0.00003243124,0.0001365923,0.00004115778,0.0001342305,0.00008798722,0.00008938349],"category_scores_gemma":[0.00005892229,0.00008530946,0.00007589712,0.00007750713,0.00005296286,0.000007040215,0.00005838271,0.00007825644,0.000153049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003043078,"about_ca_system_score_gemma":0.00006022435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004247229,"about_ca_topic_score_gemma":0.000003151838,"domain_scores_codex":[0.9993435,0.00001342583,0.0002276481,0.0001154496,0.00009340686,0.0002065558],"domain_scores_gemma":[0.9996548,0.00001153057,0.00006519348,0.0001732953,0.00002529498,0.00006987163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004633095,0.001142961,0.04384431,0.0003230138,0.0004503932,0.00002196275,0.001851096,0.1750558,0.7093073,0.01665905,0.01562889,0.03525196],"study_design_scores_gemma":[0.01054079,0.004106618,0.03183116,0.0003248407,0.000122528,0.00008161068,0.002151563,0.01453181,0.4066351,0.00338809,0.5238247,0.002461168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504839,0.00004163841,0.03425266,0.000231733,0.0001178143,0.0001480456,0.000009960465,0.00004269778,0.01467151],"genre_scores_gemma":[0.9844896,0.000002466156,0.01387324,0.001243035,0.00008674173,0.00001000081,0.0001481526,0.000006403287,0.0001403714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5081958,"threshold_uncertainty_score":0.3478819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352817295353963,"score_gpt":0.2637694309856211,"score_spread":0.2502412580320815,"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."}}