{"id":"W6939945078","doi":"10.6084/m9.figshare.26585853.v1","title":"Additional file 2 of The use of text-mining software to facilitate screening of literature on centredness in health care","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity Western University; Providence Health Care","funders":"","keywords":"Health care; Software; MEDLINE; Patient care; Data collection; Public health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002743986,0.001174418,0.002037833,0.009110782,0.0009327622,0.002049956,0.001822843,0.001312669,0.8356814],"category_scores_gemma":[0.03654356,0.0005531235,0.001692912,0.01110738,0.0003933511,0.002325215,0.001770271,0.0009041809,0.09007812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606167,"about_ca_system_score_gemma":0.003887513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007125348,"about_ca_topic_score_gemma":0.01638027,"domain_scores_codex":[0.9985787,0.0002744521,0.0005541175,0.0002601711,0.0001924089,0.0001401544],"domain_scores_gemma":[0.9460152,0.04596079,0.002937529,0.0008852312,0.003410611,0.0007906053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009069496,0.0001094105,0.002641614,0.06885349,0.0002304838,0.0002208224,0.0003579136,0.0003758232,0.0003651709,0.001761793,0.9048655,0.01931105],"study_design_scores_gemma":[0.005828895,0.0003393219,0.02530661,0.02575139,0.0009437052,0.00072296,0.001093256,0.001058935,0.001149615,0.01022962,0.9273618,0.0002139393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001744982,0.00007158264,0.0001980853,0.0001164588,0.00001881991,0.0002634671,0.9980458,0.0002001945,0.0009110321],"genre_scores_gemma":[0.008454486,0.0008160153,0.01047522,0.0008733601,0.0001674633,0.01174172,0.9517092,0.001020834,0.01474182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8356814,"threshold_uncertainty_score":0.2343806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06401275259794058,"score_gpt":0.2351612526384794,"score_spread":0.1711485000405388,"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."}}