{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172134,0.000717446,0.0005632159,0.001516471,0.001002832,0.002531508,0.001004253,0.0008954604,0.01292276],"category_scores_gemma":[0.004949836,0.0003477719,0.0009990842,0.001620516,0.002335279,0.008055233,0.002236965,0.00203864,0.001764881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430422,"about_ca_system_score_gemma":0.0008438995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001585061,"about_ca_topic_score_gemma":0.001857362,"domain_scores_codex":[0.9983147,0.0003585485,0.0001544643,0.0004944703,0.0004039478,0.000273868],"domain_scores_gemma":[0.9955364,0.00168667,0.0006130075,0.000973073,0.0007657777,0.0004250273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004886323,0.00003485251,0.0003501083,0.00005188187,0.00001040638,0.0001000316,0.0001400591,0.01343696,0.001806087,0.9646684,0.0009075344,0.01844475],"study_design_scores_gemma":[0.00001713947,0.00009548113,0.0003927616,0.00002959735,0.00001974296,0.0002259863,0.0001208881,0.08181773,0.00489143,0.8993642,0.01298839,0.00003663408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1034507,0.0004268588,0.8544309,0.0007651953,0.0001466001,0.0001778533,0.000988793,0.0005559381,0.03905698],"genre_scores_gemma":[0.7876622,0.0007942343,0.180231,0.0002728844,0.000202618,0.0003271544,0.001668578,0.0003518196,0.02848942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01292276,"threshold_uncertainty_score":0.04323095,"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."}}