{"id":"W6939832344","doi":"10.6084/m9.figshare.19085167.v1","title":"Additional file 1 of Improving health care facility birth rates in Rorya District, Tanzania: a multiple baseline trial","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Analysis of environmental and stochastic processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health care; Baseline (sea); MEDLINE; Data collection; Work (physics)","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":[0.002772147,0.0009013347,0.001185053,0.0008843995,0.001148883,0.001118517,0.001789692,0.001488391,0.7986337],"category_scores_gemma":[0.03074766,0.0005714543,0.001286014,0.001874603,0.0002737178,0.001781369,0.0009528992,0.001452666,0.05286012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253568,"about_ca_system_score_gemma":0.00289695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178265,"about_ca_topic_score_gemma":0.01775056,"domain_scores_codex":[0.9988814,0.0004794493,0.0001596999,0.0001673177,0.0001398881,0.0001721792],"domain_scores_gemma":[0.9850346,0.01065911,0.001460179,0.0008120546,0.001348678,0.0006853574],"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":[0.003929998,0.000268802,0.002423284,0.005689108,0.0002164953,0.00005452254,0.0001148535,0.000450217,0.0000570444,0.001760464,0.9728895,0.01214582],"study_design_scores_gemma":[0.2341352,0.005644671,0.113405,0.02100243,0.003180355,0.0007045184,0.001179802,0.005961221,0.001122759,0.02277573,0.5905655,0.0003228844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000816848,0.00008321859,0.0002757234,0.0004221629,0.00005894456,0.001249752,0.9928591,0.0001133416,0.004120849],"genre_scores_gemma":[0.1164687,0.0009456039,0.01119255,0.004542692,0.0005816786,0.08152483,0.7169617,0.001009625,0.06677267],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7986337,"threshold_uncertainty_score":0.2872246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372582974801484,"score_gpt":0.2208944625989728,"score_spread":0.207168632850958,"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."}}