{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07388754,0.001403544,0.0009505217,0.005567002,0.00514205,0.01730854,0.00471073,0.007191667,0.05153354],"category_scores_gemma":[0.1170967,0.001579259,0.001494442,0.007580387,0.009039895,0.03703589,0.01983137,0.01726718,0.03240203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01018557,"about_ca_system_score_gemma":0.0424036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01918626,"about_ca_topic_score_gemma":0.01741395,"domain_scores_codex":[0.9681293,0.008387661,0.003559667,0.003101312,0.01345359,0.003368446],"domain_scores_gemma":[0.8433983,0.03548496,0.004570586,0.01756515,0.05471541,0.04426567],"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":[0.0001031667,0.0001290218,0.002234107,0.0003407291,0.00001281118,0.0001329632,0.001410646,0.00007940717,0.0002276203,0.03581826,0.7937115,0.1657998],"study_design_scores_gemma":[0.00001185163,0.0000204755,0.0007681139,0.0006148964,0.000002423329,0.00008693605,0.000625353,0.0001601223,0.0001165066,0.004930717,0.9926422,0.0000203752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003333718,0.03762145,0.02960538,0.813502,0.01595636,0.0007010762,0.01064159,0.008485623,0.08015291],"genre_scores_gemma":[0.05813279,0.09478743,0.2329833,0.3014121,0.02348148,0.002644523,0.05310555,0.01366072,0.2197922],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07388754,"threshold_uncertainty_score":0.3907593,"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."}}