{"id":"W6921017251","doi":"10.6084/m9.figshare.14294558.v1","title":"Use of, and confidence in, evidence syntheses","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidence interval; Data collection; Self-confidence; Sample (material); Set (abstract data type)","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":[],"category_scores_codex":[0.01656764,0.0007850956,0.001422269,0.008250506,0.003057197,0.004333384,0.00403909,0.001508436,0.03216258],"category_scores_gemma":[0.1323191,0.0007816774,0.00125017,0.02285732,0.0009886944,0.001386966,0.003840561,0.002049055,0.005359457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03437126,"about_ca_system_score_gemma":0.08627869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9535474,"about_ca_topic_score_gemma":0.9775525,"domain_scores_codex":[0.9869319,0.00285311,0.002406347,0.001414387,0.005225937,0.001168408],"domain_scores_gemma":[0.8490182,0.06335478,0.0082646,0.009712018,0.06426429,0.005386196],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001848463,0.00002212209,0.01734183,0.003173325,0.0002648101,0.00003694504,0.000682597,0.000447348,0.00007498302,0.00132301,0.9641879,0.0122603],"study_design_scores_gemma":[0.0007617778,0.00003025368,0.2105153,0.009221957,0.0005680185,0.00008321267,0.002186859,0.0009549556,0.0003309487,0.001289601,0.773903,0.0001541106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001996113,0.0005479457,0.0001013946,0.0010909,0.00001972964,0.00009473405,0.9925035,0.00007882512,0.003566845],"genre_scores_gemma":[0.03124014,0.001435129,0.002700052,0.001043017,0.00002495722,0.001013526,0.9588788,0.000141316,0.003523056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9834324,"threshold_uncertainty_score":0.2493821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3571162397631007,"score_gpt":0.3669121707321207,"score_spread":0.009795930969019984,"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."}}