{"id":"W4238606735","doi":"10.29242/spec.353","title":"SPEC Kit 353: Funding Article Processing Charges (November 2016)","year":2016,"lang":"en","type":"book","venue":"SPEC Kit - Association of Research Libraries. Systems and Procedures Exchange Center/Kit - Association of Research Libraries. Systems and Procedures Exchange Center","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Massachusetts Amherst; University of Calgary; Pennsylvania State University; Colorado State University; Northwestern University; Emory University; York University; University of Pennsylvania","keywords":"Outreach; Spec#; Business; Administration (probate law); Public administration; Library science; Political science; Finance; Computer science; Programming language; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.009823511,0.00146518,0.00265763,0.003937079,0.002026701,0.00916083,0.002642482,0.002089853,0.0006731022],"category_scores_gemma":[0.004610012,0.001275094,0.0004943192,0.003070879,0.0008755459,0.01064772,0.003208366,0.002238378,0.0001365423],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002454557,"about_ca_system_score_gemma":0.006342015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002283632,"about_ca_topic_score_gemma":0.0001581161,"domain_scores_codex":[0.9800296,0.002333105,0.003173575,0.002700171,0.008076829,0.003686748],"domain_scores_gemma":[0.9855828,0.003641347,0.004110904,0.001219661,0.004075895,0.001369348],"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":[0.0005673254,0.0005180737,0.04431756,0.02442995,0.001217168,0.0000426667,0.008759392,0.000002360918,0.0001429304,0.03138881,0.8856364,0.002977378],"study_design_scores_gemma":[0.004691868,0.0008497534,0.003052336,0.01332879,0.00006628707,0.00005411403,0.001889369,0.0005851418,0.000600721,0.004377726,0.9688729,0.001630972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005601937,0.2003019,0.00105873,0.02302227,0.007277906,0.01859434,0.006028565,0.001911823,0.7362025],"genre_scores_gemma":[0.03501962,0.01715335,0.0002736369,0.0002128797,0.004295008,0.0009669765,0.0005047532,0.000339214,0.9412346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.205032,"threshold_uncertainty_score":0.9998097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05280785865312292,"score_gpt":0.3014095700435945,"score_spread":0.2486017113904715,"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."}}