{"id":"W6902102636","doi":"10.6084/m9.figshare.16893403","title":"Script.docx","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Interview; Qualitative research; Work (physics); Government (linguistics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005998726,0.001062241,0.0009089287,0.001557458,0.0024694,0.001780058,0.001266285,0.0007979136,0.7345816],"category_scores_gemma":[0.0295226,0.001088635,0.0007319922,0.001956867,0.0005282575,0.001617867,0.001626512,0.002365721,0.2148925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867237,"about_ca_system_score_gemma":0.004517654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458311,"about_ca_topic_score_gemma":0.02823296,"domain_scores_codex":[0.9983125,0.000811679,0.0002527837,0.0001457025,0.0001999869,0.0002774346],"domain_scores_gemma":[0.9819318,0.01005396,0.0005579563,0.0008524782,0.005928623,0.0006751405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002605418,0.0001548866,0.0007357317,0.001534363,0.000007736726,0.00005151096,0.001929819,0.0001334527,0.0002040878,0.001246845,0.9707007,0.02304036],"study_design_scores_gemma":[0.0009861608,0.0002407178,0.01341019,0.002769783,0.00003353626,0.0002104156,0.01163287,0.0005321918,0.001006649,0.006671305,0.9624053,0.0001009726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008384986,0.0003261023,0.01138824,0.003066274,0.001570289,0.04227125,0.8290481,0.004204738,0.09974005],"genre_scores_gemma":[0.02565047,0.0008010429,0.048196,0.005308626,0.0004516433,0.3468344,0.3811395,0.003843891,0.1877744],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2654184,"threshold_uncertainty_score":0.3785871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09211980371471255,"score_gpt":0.302876956160662,"score_spread":0.2107571524459494,"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."}}