{"id":"W4387139003","doi":"10.29303/jppipa.v9i9.4771","title":"Trends and Issues of Ethnoscience Research from 2008 to 2023: A Bibliometric Analysis","year":2023,"lang":"en","type":"article","venue":"Jurnal Penelitian Pendidikan IPA","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Scopus; Publishing; Distribution (mathematics); Russian federation; Political science; Geography; Regional science; Computer science; Mathematics; MEDLINE; Law","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003689138,0.0002431971,0.0005121371,0.04433603,0.000855292,0.004800732,0.0004182984,0.0004790309,0.00137567],"category_scores_gemma":[0.01569672,0.0001320023,0.0006612722,0.0855093,0.0005159422,0.003400035,0.001193739,0.0004272016,0.0005610361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002280708,"about_ca_system_score_gemma":0.002354528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008151713,"about_ca_topic_score_gemma":0.01066024,"domain_scores_codex":[0.995924,0.0005848771,0.0008594702,0.0004076196,0.001907064,0.0003170048],"domain_scores_gemma":[0.9812728,0.006184844,0.00615316,0.0005601611,0.005297857,0.000531027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001604429,0.00007849358,0.7871361,0.001653963,0.0002578295,0.0006778147,0.00522428,0.001091782,0.001027255,0.00436337,0.00654131,0.1917873],"study_design_scores_gemma":[0.000005137146,0.00008043439,0.9390104,0.0006578598,0.00010579,0.000896082,0.008254371,0.001577284,0.0009738341,0.0008970944,0.04749989,0.00004184434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239917,0.02218295,0.001891789,0.003420967,0.0001440091,0.0001302416,0.01918088,0.0001415456,0.0289159],"genre_scores_gemma":[0.96844,0.01272151,0.002553051,0.0001624935,0.0002421244,0.0001527547,0.01324142,0.00003414587,0.002452502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.955664,"threshold_uncertainty_score":0.01951027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08062731783390474,"score_gpt":0.4160534329598738,"score_spread":0.3354261151259691,"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."}}