{"id":"W2968641207","doi":"10.1016/j.cub.2019.07.045","title":"Environmental Programming of Adult Foraging Behavior in C. elegans","year":2019,"lang":"en","type":"article","venue":"Current Biology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Institutes of Health; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Biology; Foraging; Caenorhabditis elegans; Ecology; Zoology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007860581,0.0001362519,0.0001730758,0.00005817522,0.00001783287,0.000005013497,0.0001833551,0.0001266178,0.00003647329],"category_scores_gemma":[0.00001365966,0.000135224,0.0000728362,0.00004017616,0.00009685808,0.000002516906,0.0001163131,0.0001092816,0.0000209378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001504714,"about_ca_system_score_gemma":0.00002440371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001993961,"about_ca_topic_score_gemma":0.00002928112,"domain_scores_codex":[0.9990634,0.00004407066,0.0002384512,0.0003235676,0.00005524385,0.0002752315],"domain_scores_gemma":[0.9995819,0.000005690051,0.00008874073,0.0002643126,0.00001705813,0.00004228481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001426149,0.0001567061,0.4949621,0.00002295557,0.000007767339,4.456255e-7,0.0001277949,0.0000121623,0.47947,0.00007768389,0.00001639454,0.02513169],"study_design_scores_gemma":[0.003011365,0.001833378,0.241158,0.00006683643,0.00007859997,0.00003200685,0.0006672055,0.0002885963,0.6952113,0.0002400534,0.05645247,0.0009602126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972766,0.001145821,0.0007053599,0.0000193683,0.0004501465,0.000315087,0.00002251627,0.000006587002,0.00005852977],"genre_scores_gemma":[0.9988281,0.000280172,0.0004869145,0.00003568757,0.00007836186,0.00002972638,0.0002025697,0.00001593435,0.0000426034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2538041,"threshold_uncertainty_score":0.5514274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009432349311688279,"score_gpt":0.2557272303354293,"score_spread":0.246294881023741,"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."}}