{"id":"W4247758153","doi":"10.1063/1.3383223.1","title":"10.1063/1.3383223.1","year":2010,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Caenorhabditis elegans; Channel (broadcasting); Electric field; Microfluidics; Similarity (geometry); Computer science; Field (mathematics); Alternating current; Throughput; Movement (music); Biology; Engineering; Artificial intelligence; Physics; Nanotechnology; Electrical engineering; Voltage; Acoustics; Materials science; Telecommunications; Genetics; Mathematics; Wireless","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001741412,0.0007718285,0.0005546189,0.000146624,0.0001597631,0.0004594158,0.001113371,0.001388021,0.001141055],"category_scores_gemma":[0.0003028121,0.0007752353,0.0004184465,0.0001359739,0.0002636881,0.00001582167,0.0006346119,0.0007501915,0.00353592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002982537,"about_ca_system_score_gemma":0.0001611373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001292139,"about_ca_topic_score_gemma":0.0005723103,"domain_scores_codex":[0.9970732,0.00004633675,0.0005306725,0.001127019,0.0004806998,0.000742082],"domain_scores_gemma":[0.9974616,0.00003035092,0.0002838676,0.001764389,0.0001568096,0.0003030356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006099164,0.0002049228,0.00001459905,0.00008773946,0.0001329525,0.00003396451,0.00001513777,0.000006620362,0.004065859,0.000002200155,0.9926746,0.002700349],"study_design_scores_gemma":[0.0004884946,0.0006089103,0.00006828358,0.00002505921,0.00009454457,0.00009716123,0.00001434737,0.000005296016,0.003164298,0.00007300622,0.9944102,0.0009504207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004970281,0.0006761631,0.0002117299,0.00004207082,0.0009448564,0.0004178531,0.9895493,0.00006116762,0.003126521],"genre_scores_gemma":[0.009415583,0.0002286813,0.0001505308,0.0004387586,0.00170032,0.00004687103,0.9804384,0.0001193499,0.00746147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009110921,"threshold_uncertainty_score":0.9999084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005943894763969291,"score_gpt":0.2248071636616246,"score_spread":0.2188632688976553,"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."}}