{"id":"W4382457243","doi":"10.26460/jm.v13i1.3703","title":"","year":2023,"lang":"","type":"article","venue":"Jurnal Manajemen","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Documentation; Tourism; Business; Geography; Computer science; Archaeology","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009218661,0.0006912678,0.0008702598,0.001151246,0.004519713,0.001461897,0.001957055,0.0004367457,0.001876353],"category_scores_gemma":[0.00216253,0.0007376224,0.001122368,0.008328456,0.0008325372,0.002381397,0.0008550388,0.0009113078,0.0013594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025797,"about_ca_system_score_gemma":0.001461787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004039154,"about_ca_topic_score_gemma":0.005510203,"domain_scores_codex":[0.98881,0.002008531,0.001678402,0.001221004,0.003186685,0.00309535],"domain_scores_gemma":[0.9951096,0.0009813235,0.0008289011,0.0008823223,0.0003193394,0.001878491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007686762,0.001377711,0.1529938,0.0007520295,0.001652368,0.00119921,0.2503695,0.00215392,0.002621976,0.1430471,0.08127242,0.3617913],"study_design_scores_gemma":[0.002027263,0.0004741359,0.3726624,0.0002415656,0.000196457,0.000003906799,0.03353176,0.002044019,0.00004726044,0.01333429,0.5745934,0.0008435174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8083273,0.000367621,0.0003501035,0.1639881,0.004615286,0.001498283,0.00002570634,0.0009295901,0.01989804],"genre_scores_gemma":[0.9364073,0.006550335,0.00002712871,0.006264735,0.002241635,0.00005441583,0.00001711477,0.00006531213,0.04837208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.493321,"threshold_uncertainty_score":0.9995747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06905037329139416,"score_gpt":0.4094387971431314,"score_spread":0.3403884238517373,"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."}}