{"id":"W6888794372","doi":"10.22122/him.v16i5.3951","title":"Mapping and Analyzing the Scientific Outcomes in Autism Spectrum Disorder Using Lexical Co-occurrence Approach","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Population; Analytics; Autism; Autism spectrum disorder; Scientometrics; Domain (mathematical analysis); Centrality","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":[0.003606998,0.0004935104,0.0006249219,0.05265893,0.001387759,0.002939128,0.0005244949,0.0004730602,0.002606825],"category_scores_gemma":[0.02272741,0.0001599796,0.0008855454,0.04407394,0.0007903173,0.002477961,0.002276488,0.0004621769,0.0004702416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205055,"about_ca_system_score_gemma":0.001844621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004551933,"about_ca_topic_score_gemma":0.006454047,"domain_scores_codex":[0.9955053,0.001143751,0.001008213,0.0007504995,0.001386935,0.0002052556],"domain_scores_gemma":[0.9744005,0.01592492,0.005215226,0.0009456825,0.002852973,0.000660714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003944594,0.0001929883,0.7813385,0.004350379,0.0007007423,0.001523213,0.008249536,0.00219723,0.006311786,0.00737746,0.004768552,0.1825951],"study_design_scores_gemma":[0.00005109058,0.0002430965,0.8972478,0.0009357415,0.0007796121,0.001750767,0.0204951,0.02439454,0.004370234,0.02461935,0.02497449,0.000138235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297572,0.002772525,0.03110909,0.000869944,0.0001038967,0.0005705488,0.02393393,0.0003151618,0.01056779],"genre_scores_gemma":[0.9538723,0.0009454093,0.03212313,0.00004011138,0.00008237569,0.0007466425,0.01139067,0.00004087256,0.0007583994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9473411,"threshold_uncertainty_score":0.01907587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4074866773644,"score_gpt":0.5505791058836168,"score_spread":0.1430924285192168,"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."}}