{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008214035,0.001287078,0.001001981,0.004484347,0.0007567299,0.001426785,0.002470756,0.0009468668,0.03647271],"category_scores_gemma":[0.004348602,0.0008765135,0.0006018196,0.01020909,0.0003275737,0.001047121,0.001244747,0.001318866,0.02803113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003596496,"about_ca_system_score_gemma":0.007724303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5138074,"about_ca_topic_score_gemma":0.675001,"domain_scores_codex":[0.9994331,0.00004512167,0.00007671955,0.0001607768,0.0001642161,0.0001200977],"domain_scores_gemma":[0.9972219,0.0002826675,0.0004897883,0.0003876301,0.001209989,0.0004080248],"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":[0.0000580042,0.00002232072,0.005919295,0.000393149,0.00003587005,0.00001869446,0.00004166601,0.0003805614,0.00006526241,0.0003549517,0.9907904,0.001919876],"study_design_scores_gemma":[0.0002738818,0.00002215883,0.09196358,0.000461702,0.00006449261,0.00005789985,0.0002757568,0.0008748793,0.0004689481,0.0006672621,0.9048166,0.00005276469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001931914,0.0000156547,0.00002773455,0.00001677309,0.000004948428,0.000006163859,0.9993551,0.00003781381,0.0003426147],"genre_scores_gemma":[0.0008139012,0.00003921487,0.0001981767,0.00001933683,0.000003849013,0.00006870862,0.9972813,0.000022629,0.001552855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5138074,"threshold_uncertainty_score":0.9781119,"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."}}