{"id":"W4395083193","doi":"10.2196/preprints.58628","title":"Technological Adjuncts to Streamline Clinical Research Processes: Recruitment, Informed Consent, and Data Management (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Bill and Melinda Gates Foundation","keywords":"Preprint; Informed consent; Business; Knowledge management; Computer science; Medicine; World Wide Web; Alternative medicine","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":[],"category_scores_codex":[0.03367591,0.0007107144,0.0005535967,0.002518379,0.001681844,0.00844132,0.001393638,0.001758049,0.1513954],"category_scores_gemma":[0.1217818,0.0007668443,0.0006275594,0.00287856,0.001320978,0.00394187,0.003493309,0.001908782,0.1380138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110418,"about_ca_system_score_gemma":0.007547077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738035,"about_ca_topic_score_gemma":0.0031547,"domain_scores_codex":[0.9655871,0.02253613,0.003955421,0.00135395,0.005724444,0.0008429114],"domain_scores_gemma":[0.8304677,0.09686313,0.01032108,0.02030247,0.03784155,0.004204102],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002599272,0.000141906,0.00140079,0.0006393323,0.00001447931,0.0002137777,0.0007545549,0.0001968723,0.00221095,0.003519292,0.8548676,0.1357806],"study_design_scores_gemma":[0.0001067879,0.000231308,0.005397536,0.0007852017,0.00001489485,0.0002820679,0.0008939236,0.0007332067,0.003942312,0.002841543,0.9847097,0.00006153229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0230906,0.006527734,0.2549103,0.1671883,0.07720754,0.01360235,0.0452177,0.068673,0.3435826],"genre_scores_gemma":[0.1232614,0.01117478,0.4006602,0.05620115,0.04006986,0.01428421,0.04206502,0.01793477,0.2943487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9663241,"threshold_uncertainty_score":0.5064679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9251695058548968,"score_gpt":0.729789617569808,"score_spread":0.1953798882850888,"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."}}