{"id":"W4318900136","doi":"10.1155/2007/540469","title":"Post‐Genomic Technologies","year":2007,"lang":"en","type":"article","venue":"Analytical Cellular Pathology","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Computational biology; Computer science; World Wide Web; Data science; Biology","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":[0.000681624,0.0001677649,0.0002566144,0.0001998372,0.0001190642,0.0000575086,0.001140793,0.0002475689,0.000099525],"category_scores_gemma":[0.0003539814,0.0001286445,0.0001257661,0.0003862781,0.0004740624,0.0001590715,0.000534162,0.0002903501,0.001014416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000493238,"about_ca_system_score_gemma":0.00004619152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378145,"about_ca_topic_score_gemma":0.000009424047,"domain_scores_codex":[0.9982974,0.00006335244,0.0003266658,0.0005307204,0.0001706877,0.0006111645],"domain_scores_gemma":[0.9988109,0.0001708518,0.00005037357,0.0007583911,0.0001124683,0.00009703531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004088215,0.000261261,0.0007975461,0.00001811519,0.00005643794,0.002741819,0.0006301349,0.000007260839,0.3190886,0.5774328,0.003305526,0.09561953],"study_design_scores_gemma":[0.001504604,0.003346357,0.003030079,0.00002855641,0.0001153984,0.0016707,0.0008782411,0.1259302,0.5571288,0.1205984,0.1835981,0.002170607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.099118,0.0005431879,0.8673561,0.002083237,0.0003226317,0.0001065468,0.000001249397,0.0005772178,0.02989187],"genre_scores_gemma":[0.989286,0.0000332022,0.007852073,0.00104671,0.00006098066,0.000002211025,0.00000322353,0.00001172597,0.001703847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.890168,"threshold_uncertainty_score":0.9997634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779856372853946,"score_gpt":0.2345993683060033,"score_spread":0.2168008045774639,"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."}}