{"id":"W6969007827","doi":"10.5525/gla.researchdata.1135","title":"Cancer Clinical Trials: Identifying & Testing Approaches to Impact Evaluation","year":2021,"lang":"en","type":"dataset","venue":"Enlighten: Theses (The University of Glasgow)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; MEDLINE; Risk assessment; Disease; Identification (biology)","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6698579,0.006655993,0.01087554,0.01105382,0.002851944,0.0204632,0.008817108,0.01036482,0.01751574],"category_scores_gemma":[0.8176414,0.002598058,0.0114767,0.01364442,0.01975827,0.02180571,0.01060603,0.01207787,0.002514606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01257514,"about_ca_system_score_gemma":0.0211641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004318,"about_ca_topic_score_gemma":0.001738016,"domain_scores_codex":[0.1096393,0.8152532,0.0255944,0.01265903,0.03532513,0.001528909],"domain_scores_gemma":[0.03898038,0.9117209,0.01671682,0.02209755,0.009559464,0.0009248986],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004379764,0.000956647,0.02384118,0.03997261,0.0173023,0.0003089386,0.002644764,0.01395621,0.000543049,0.3374275,0.02109331,0.5375737],"study_design_scores_gemma":[0.006007281,0.006919939,0.007681022,0.03098295,0.009044386,0.0005209874,0.001827447,0.06364252,0.002256137,0.8024377,0.06826564,0.0004140192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.01401467,0.08814996,0.7152646,0.06510179,0.004424893,0.05109543,0.004073177,0.001864802,0.0560107],"genre_scores_gemma":[0.2152349,0.01281234,0.6768959,0.0118816,0.001665974,0.07781691,0.001023134,0.0004248492,0.002244412],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3301421,"threshold_uncertainty_score":0.407124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6974453461255938,"score_gpt":0.4712523413274007,"score_spread":0.2261930047981931,"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."}}