{"id":"W3166720080","doi":"10.21203/rs.3.rs-415307/v1","title":"The Impact of Panel Composition and Topic on Stakeholder Perspectives: Generating Hypotheses from Online Maternal and Child Health Modified-Delphi Panels","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health","keywords":"Delphi method; Seriousness; Stakeholder; Computer-assisted web interviewing; Psychology; Scale (ratio); Psychosocial; Delphi; Medicine; Applied psychology; Public relations; Business; Marketing; Computer science; Political science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2995441,0.001247922,0.0008475589,0.002932922,0.003262777,0.004716686,0.00253006,0.001944055,0.004781431],"category_scores_gemma":[0.51833,0.00111005,0.002871365,0.002270583,0.007297463,0.005694683,0.008171983,0.002861044,0.0005976887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00519738,"about_ca_system_score_gemma":0.004615361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000944484,"about_ca_topic_score_gemma":0.000789342,"domain_scores_codex":[0.6067762,0.3409195,0.01673488,0.009067333,0.02073681,0.005765249],"domain_scores_gemma":[0.2044727,0.7232152,0.03133387,0.01809282,0.0215555,0.001329971],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.006115324,0.005327711,0.2887509,0.004189303,0.0009768617,0.0005067693,0.5440351,0.006434305,0.005525283,0.007347664,0.002431224,0.1283596],"study_design_scores_gemma":[0.001783376,0.0197499,0.5050272,0.003663591,0.001236983,0.0005245159,0.3444702,0.06474432,0.02432689,0.02255812,0.01127119,0.0006437406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642431,0.00006468807,0.02071105,0.000580801,0.00006142196,0.01024906,0.0001964787,0.00004502031,0.003848427],"genre_scores_gemma":[0.9598579,0.00005223196,0.01869816,0.0003353179,0.00003574624,0.02060778,0.0001814942,0.00002187497,0.0002095858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7004559,"threshold_uncertainty_score":0.8637868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3995436308265342,"score_gpt":0.5142970517260059,"score_spread":0.1147534208994718,"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."}}