{"id":"W4293093335","doi":"10.23889/ijpds.v7i3.2096","title":"ICES Data and Analytic Services: Eight Years Young.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Education, Law, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Operationalization; Biobank; Service (business); Data science; Computer science; Business; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004530345,0.00006390063,0.00007917226,0.000167269,0.002350911,0.0008281241,0.004385852,0.00002168537,0.0002992246],"category_scores_gemma":[0.0003905341,0.00006714067,0.0000243685,0.0004300395,0.000281369,0.003996011,0.001047455,0.0001127555,0.000001873224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316157,"about_ca_system_score_gemma":0.0004657148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002776909,"about_ca_topic_score_gemma":0.004226803,"domain_scores_codex":[0.9975808,0.00009033291,0.0002659144,0.0004065074,0.001438123,0.0002182983],"domain_scores_gemma":[0.9986935,0.0001140064,0.0002567693,0.0004851945,0.0003091604,0.0001413238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004220688,0.0002188979,0.823991,0.00001572939,0.0001194749,0.000008873869,0.0386424,0.000387429,0.0001100087,0.08492441,0.03131612,0.02022344],"study_design_scores_gemma":[0.0003876764,0.00002855062,0.1722181,0.00001998624,0.00004040476,0.00005213488,0.02901416,0.03317925,0.000001155837,0.008380803,0.7564552,0.0002225231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723604,0.0003504651,0.001447066,0.009038095,0.01186342,0.0003571879,0.002680196,0.000047505,0.001855676],"genre_scores_gemma":[0.9935261,0.0002685821,0.002530659,0.0004610321,0.0009587656,0.000005504801,0.001390636,0.000006584279,0.0008521212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7251391,"threshold_uncertainty_score":0.9989479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09035256957814176,"score_gpt":0.4433662474478667,"score_spread":0.353013677869725,"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."}}