{"id":"W6957972701","doi":"10.6084/m9.figshare.23632743.v1","title":"Additional file 8 of Development of consensus-driven SPIRIT and CONSORT extensions for early phase dose-finding trials: the DEFINE study","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Table (database); Demographics; Delphi; Delphi method; Development (topology)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.04685103,0.002016634,0.002717829,0.004568661,0.001554915,0.003679725,0.00275283,0.002361533,0.8392338],"category_scores_gemma":[0.2821346,0.002069555,0.003169315,0.005509195,0.0009409309,0.003749624,0.002584598,0.002918518,0.1091263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003196584,"about_ca_system_score_gemma":0.007540116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725032,"about_ca_topic_score_gemma":0.004719558,"domain_scores_codex":[0.9772356,0.01307105,0.005419565,0.001360673,0.002151495,0.0007615992],"domain_scores_gemma":[0.6911544,0.2596211,0.01515636,0.01271657,0.01916686,0.002184896],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.003421433,0.0001650197,0.0007116605,0.02931215,0.0003117851,0.00005859933,0.0003843197,0.0007186567,0.0001207071,0.004952944,0.9295601,0.03028263],"study_design_scores_gemma":[0.06789336,0.001041291,0.01033523,0.03712877,0.001107492,0.0003199449,0.0006712843,0.003404002,0.001020698,0.03864351,0.8380815,0.0003528794],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000781709,0.000216961,0.01146527,0.001654073,0.0006541581,0.04788046,0.9243295,0.00339975,0.009618167],"genre_scores_gemma":[0.01241795,0.0004888186,0.07049081,0.00258676,0.000462813,0.70694,0.175271,0.003152162,0.02818972],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.953149,"threshold_uncertainty_score":0.2477748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5194772934774161,"score_gpt":0.5227523570800382,"score_spread":0.003275063602622086,"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."}}