{"id":"W6902047366","doi":"10.6073/pasta/bb7b7e335a13fb2361583f89179ecd34","title":"Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of population employed in service (percent of total) in units of percent on a yearly timescale","year":2014,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Service (business); Population; Unit (ring theory)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001157373,0.0005871892,0.001078528,0.0007734025,0.00005098951,0.00001623017,0.0007267907,0.0003979505,0.0005255908],"category_scores_gemma":[0.0002644249,0.0005982504,0.00004814736,0.0006853921,0.0002282043,0.0006023914,0.0007468586,0.0006105694,0.0003016295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008763957,"about_ca_system_score_gemma":0.00006265969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02047904,"about_ca_topic_score_gemma":0.02136073,"domain_scores_codex":[0.99367,0.001854302,0.001835354,0.001050947,0.001214617,0.0003747187],"domain_scores_gemma":[0.9961004,0.0005161584,0.001786939,0.001447401,0.00005759706,0.0000915125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005656826,0.03407691,0.4964251,0.001262074,0.0007500449,0.00009316906,0.02706192,0.01363267,0.01191722,0.00001442202,0.4083236,0.0007860403],"study_design_scores_gemma":[0.003959392,0.002963066,0.9811853,0.0004756011,0.0001569819,0.000002068329,0.007448303,0.001082377,0.0002032315,0.00001640328,0.001943745,0.0005634984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4948746,0.00001682421,0.000002674266,0.000004519194,0.00004154547,0.001143275,0.5039019,0.000006966317,0.000007693582],"genre_scores_gemma":[0.4735177,0.00004962265,0.00005480355,0.0000336857,0.0000143172,0.00004049479,0.5262492,0.00003882161,0.000001438721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4847603,"threshold_uncertainty_score":0.9996469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07526283267583135,"score_gpt":0.2984161712744745,"score_spread":0.2231533385986431,"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."}}