{"id":"W4382894645","doi":"10.31602/jbkr.v9i1.11192","title":"Pengaruh Bimbingan Karier Berbantuan Aplikasi BK ALMaS Terhadap Quarter Life Crisis Mahasiswa Tingkat Akhir","year":2023,"lang":"en","type":"article","venue":"JURNAL BIMBINGAN DAN KONSELING AR-RAHMAN","topic":"Education and Character Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; Humanities; Nonprobability sampling; Psychology; Mathematics; Demography; Geography; Art; Sociology; Archaeology","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":[0.0003699739,0.0002859969,0.0001940784,0.0003460884,0.001073371,0.0009868273,0.0002448504,0.0003590798,0.009591053],"category_scores_gemma":[0.000845045,0.0001478557,0.0001432911,0.0002293597,0.0003191436,0.0005736962,0.0007354529,0.0006961255,0.001335733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003793473,"about_ca_system_score_gemma":0.001101235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692517,"about_ca_topic_score_gemma":0.004094011,"domain_scores_codex":[0.9997786,0.00004937132,0.0000141389,0.00002046787,0.00006754898,0.00006989702],"domain_scores_gemma":[0.9994944,0.00009350856,0.0001011918,0.00001719936,0.0001074087,0.0001863697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008842384,0.00226763,0.290889,0.000915522,0.00003806522,0.002850591,0.03446762,0.0006099229,0.02658117,0.002354973,0.01119668,0.6269446],"study_design_scores_gemma":[0.00003502203,0.001766987,0.7831085,0.0004463074,0.00006898231,0.002737479,0.1263772,0.001519844,0.01128039,0.001572486,0.07100851,0.00007832069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824785,0.0005769719,0.0005947566,0.0007810886,0.00005752242,0.00003939724,0.00004321208,0.0000384072,0.01539009],"genre_scores_gemma":[0.9883286,0.0009072491,0.001160089,0.0001197662,0.00001579838,0.00003808961,0.0000687635,0.000008746869,0.009352805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009591053,"threshold_uncertainty_score":0.03208524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528243399756945,"score_gpt":0.3052632993970119,"score_spread":0.2699808653994424,"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."}}