{"id":"W2766361553","doi":"10.1044/2017_ajslp-16-0046","title":"Using the Delphi Technique to Explore Complex Concepts in Speech-Language Pathology: An Illustrative Example From Children's Social Communication","year":2017,"lang":"en","type":"review","venue":"American Journal of Speech-Language Pathology","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pragmatics; Delphi; Delphi method; Computer science; Process (computing); Speech-Language Pathology; Key (lock); Field (mathematics); Psychology; Natural language processing; Artificial intelligence; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03474622,0.001362475,0.0009662662,0.004381434,0.00387093,0.002412606,0.001820051,0.004669411,0.00153433],"category_scores_gemma":[0.03131025,0.0004575252,0.001025139,0.00489279,0.006814774,0.00381819,0.005511296,0.003823111,0.0004230979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003405629,"about_ca_system_score_gemma":0.006917174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003437534,"about_ca_topic_score_gemma":0.006355724,"domain_scores_codex":[0.9374008,0.05569953,0.00197899,0.0005896174,0.003594718,0.0007362975],"domain_scores_gemma":[0.9689481,0.0278884,0.0007434104,0.0004558892,0.001604614,0.0003595841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002222655,0.0002571651,0.002287109,0.03544151,0.0002065666,0.02665467,0.30728,0.002059632,0.003060819,0.1064002,0.04392987,0.4722001],"study_design_scores_gemma":[0.00007106314,0.0005099936,0.004632169,0.02520237,0.0001149272,0.03084445,0.1532647,0.0009455298,0.001884973,0.03098588,0.7513127,0.0002313455],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.07794543,0.6383803,0.1185273,0.06609038,0.005129598,0.006756275,0.0002264108,0.0001986036,0.08674568],"genre_scores_gemma":[0.4270737,0.3669877,0.1690505,0.01738834,0.0008414974,0.007857364,0.0001488412,0.00009813119,0.0105538],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03474622,"threshold_uncertainty_score":0.1837577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4278646362740727,"score_gpt":0.5648635380798643,"score_spread":0.1369989018057916,"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."}}