{"id":"W4379881349","doi":"10.1242/jcs.261344","title":"First person – Connie Shen","year":2023,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Selection (genetic algorithm); Library science; Anthropology; Cognitive science; Sociology; Artificial intelligence; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323547,0.00005701488,0.0001451202,0.0004426883,0.0001348249,0.0000468162,0.0003296542,0.00002608919,0.0003695098],"category_scores_gemma":[0.0004546394,0.00004043615,0.00008448298,0.001316339,0.0002872998,0.0001413935,0.00006811217,0.0002407618,0.0003735089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135676,"about_ca_system_score_gemma":0.0005575857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000484791,"about_ca_topic_score_gemma":0.000001297531,"domain_scores_codex":[0.9981049,0.00001502399,0.0001868683,0.0001248677,0.0012712,0.0002971813],"domain_scores_gemma":[0.9989485,0.00009659773,0.0001065144,0.0001581669,0.000348742,0.000341538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006528103,0.00006363459,0.003782107,0.00005101221,0.000004259876,0.000731922,0.0007677416,0.00007089257,0.9758533,0.00002525561,0.01699029,0.001594302],"study_design_scores_gemma":[0.003083872,0.002190547,0.2039892,0.0003171245,0.00005546166,0.001161856,0.003203982,0.0117852,0.6487402,0.0001757838,0.1250368,0.0002599236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682001,0.0001123472,0.00009431822,0.004553762,0.0002183627,0.0000829409,3.952265e-7,0.00001461438,0.02672311],"genre_scores_gemma":[0.9910004,0.0001688697,0.0008572759,0.0001644525,0.0001278252,5.105602e-7,1.794007e-7,0.000007022955,0.007673443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3271131,"threshold_uncertainty_score":0.4800826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854576038822257,"score_gpt":0.3361823661948793,"score_spread":0.2876366058066567,"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."}}