{"id":"W4238446485","doi":"10.1093/geront/gnv452.01","title":"GEROSCIENCE","year":2015,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002339772,0.00005081775,0.0000559623,0.00000527387,0.0001399601,0.00002133706,0.0002115952,0.00001319182,0.0005578341],"category_scores_gemma":[0.0000327933,0.00002578362,0.00001498839,0.00004875713,0.0003109432,0.00006061363,0.00002458886,0.00004305231,0.0008189753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003377645,"about_ca_system_score_gemma":0.000007169645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006393384,"about_ca_topic_score_gemma":0.006825208,"domain_scores_codex":[0.999534,0.00002704623,0.00005795984,0.00009568043,0.0001288411,0.0001565416],"domain_scores_gemma":[0.9997613,0.00003233132,0.0000201392,0.0001271017,0.000003679677,0.0000554695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000213786,0.000007043579,0.9173985,0.000001014853,0.000004407286,0.000006846422,0.0003222709,0.0005697555,0.00000328384,0.0001632587,0.01470823,0.06679402],"study_design_scores_gemma":[0.00009975235,0.00009431769,0.9259088,6.828071e-7,0.000003771662,0.00001484568,0.0006242899,0.001066234,0.00001596376,0.001549652,0.07054666,0.00007500556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5753068,0.001157131,0.0001679317,0.002266911,0.0003897914,0.0000782847,0.000006142319,0.00004582781,0.4205811],"genre_scores_gemma":[0.9970061,0.00003016414,0.0001630327,0.0004504912,0.00004829628,5.892911e-7,0.000003203608,5.384078e-7,0.00229763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4216992,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09524909268994085,"score_gpt":0.2291307548441693,"score_spread":0.1338816621542285,"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."}}