{"id":"W6939464940","doi":"10.6084/m9.figshare.20206424","title":"Additional file 1 of A comparison of rural Australian First Nations and Non-First Nations survey responses to COVID-19 risks and impacts: implications for health communications","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Risk communication; Rural area; Rural population; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003796248,0.0005384075,0.0006906429,0.002540507,0.001296499,0.0007870582,0.001242251,0.0007934024,0.7828005],"category_scores_gemma":[0.06186514,0.0005999494,0.0004855039,0.005699424,0.0002684396,0.001481116,0.0009918894,0.001042127,0.08113412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690316,"about_ca_system_score_gemma":0.003484793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0351409,"about_ca_topic_score_gemma":0.0522668,"domain_scores_codex":[0.9983695,0.0004966021,0.0002691823,0.0001984357,0.0004298366,0.0002364013],"domain_scores_gemma":[0.9378921,0.04434143,0.004961716,0.002510929,0.00925528,0.001038646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001092241,0.000138583,0.003273615,0.0009471011,0.00001622806,0.00002526293,0.0002452775,0.0002112478,0.00003737723,0.0008434548,0.9886058,0.005546696],"study_design_scores_gemma":[0.002237593,0.0005650549,0.1775357,0.00366282,0.0001322345,0.0003425833,0.003795477,0.002655389,0.0007182186,0.006729621,0.8014635,0.0001617739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001415316,0.0000111231,0.0003895705,0.0002396228,0.00003694257,0.0006173924,0.9919873,0.0001218893,0.005180798],"genre_scores_gemma":[0.0428724,0.000205282,0.008115179,0.001374718,0.0001544878,0.02331384,0.8647739,0.0005447975,0.05864533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7828005,"threshold_uncertainty_score":0.3098087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5726323026469904,"score_gpt":0.5789392889943782,"score_spread":0.0063069863473878,"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."}}