{"id":"W7015133826","doi":"","title":"State of Play: Greater Rochester and the Finger Lakes","year":2017,"lang":"en","type":"dataset","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Task force; Task (project management); Athletes; Quality (philosophy)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000771624,0.00061932,0.00111562,0.0001954505,0.0002469897,0.0003152673,0.001071606,0.0003033861,0.0008573823],"category_scores_gemma":[0.0002144875,0.0003844195,0.0001406453,0.0000928676,0.00110483,0.0002036641,0.0005057279,0.0005757286,0.0048928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000500737,"about_ca_system_score_gemma":0.00009877681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002312047,"about_ca_topic_score_gemma":0.004209292,"domain_scores_codex":[0.9974709,0.0002694207,0.0005214429,0.0006282756,0.0005627713,0.0005472244],"domain_scores_gemma":[0.9963807,0.000222845,0.0008808392,0.002253245,0.0001264405,0.0001359318],"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":[0.0005892622,0.00003229927,0.0001410331,0.0002667858,0.0003086629,0.00008635278,0.0008682996,0.000002183599,0.00003180903,0.000002359446,0.9973406,0.0003303432],"study_design_scores_gemma":[0.00269293,0.00006368439,0.0009985632,0.0003524664,0.0004192588,0.00003344026,0.00001848776,0.000008411,0.0003486894,0.0001530955,0.9944462,0.0004647376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005271872,0.001348808,5.60364e-7,0.0003952605,0.0003561782,0.000619221,0.9915005,0.00004452665,0.0004630794],"genre_scores_gemma":[0.002522368,0.0004400917,0.00002236759,0.0003018532,0.0005537952,0.00008961536,0.9844264,0.0001746346,0.01146889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01100581,"threshold_uncertainty_score":0.9998608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602916928659012,"score_gpt":0.276769013660581,"score_spread":0.2607398443739909,"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."}}