{"id":"W4205514540","doi":"10.31219/osf.io/npgwx","title":"KEPEMIMPINAN DAN KINERJA PIMPINAN PEREMPUAN","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Local Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Nonprobability sampling; Data presentation; Data collection; Documentation; Government (linguistics); Work (physics); Socioeconomics; Geography; Political science; Sociology; Social science; Engineering; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005440343,0.0002767426,0.0004069599,0.00005311687,0.000413159,0.0004227711,0.0006790367,0.0004713388,0.001225441],"category_scores_gemma":[0.0002400247,0.0002577016,0.0002157438,0.0002292426,0.0001962918,0.000137819,0.0009783966,0.0005352942,0.00009564274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000455901,"about_ca_system_score_gemma":0.002177742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01825889,"about_ca_topic_score_gemma":0.01739746,"domain_scores_codex":[0.9973846,0.0001601217,0.0003461991,0.0006712251,0.0008616461,0.0005762227],"domain_scores_gemma":[0.9988014,0.00004662986,0.0001699654,0.0004979217,0.0002189428,0.0002651983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004407624,0.0007669672,0.04950326,0.0003943718,0.0003767477,0.0005738424,0.1248191,0.000170673,0.0002760122,0.51261,0.1591446,0.1513204],"study_design_scores_gemma":[0.0002463786,0.00002737599,0.03418519,0.0002996841,0.00003172379,0.000002276006,0.01663775,0.00002271435,0.0005202897,0.002955382,0.9441688,0.0009024268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.251846,0.000598136,0.001191897,0.006508958,0.003010044,0.0004567014,0.000008503401,0.00031459,0.7360652],"genre_scores_gemma":[0.9537479,0.001423539,0.002987634,0.001658382,0.0008173189,0.00005617036,0.00006018436,0.00002805879,0.03922081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7850242,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574206662112089,"score_gpt":0.3272009614736464,"score_spread":0.2914588948525255,"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."}}