{"id":"W6964179489","doi":"10.25384/sage.c.6781288.v1","title":"Working with Indigenous Australian communities designing a nutritional mHealth tool during the Covid-19 pandemic","year":2023,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Negotiation; Pandemic; mHealth; Plan (archaeology); Metis; Research ethics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002181575,0.0002258053,0.000253467,0.0001138007,0.001325052,0.0001459981,0.002230124,0.0002013196,0.01061668],"category_scores_gemma":[0.00008849503,0.0001527766,0.00003043415,0.0003632306,0.0005250971,0.0002541115,0.0007463615,0.0009418976,0.0002967253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635565,"about_ca_system_score_gemma":0.0001663866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004239178,"about_ca_topic_score_gemma":0.09303994,"domain_scores_codex":[0.9979645,0.0003624329,0.0002702335,0.0002901664,0.0005329643,0.0005796796],"domain_scores_gemma":[0.9981272,0.00046535,0.0003726207,0.0008305351,0.000002679197,0.000201639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000350184,0.00005483865,0.8816612,0.00004866535,0.00009423395,0.0003876791,0.002171087,0.0004648827,0.00006226396,0.000001576135,0.1113091,0.003709526],"study_design_scores_gemma":[0.001651348,0.0001305947,0.3930671,0.004364914,0.0001888765,0.005484964,0.005566894,0.0001124105,0.000006312929,0.0007370079,0.5873619,0.001327652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6801435,0.03697246,0.01138579,0.02425569,0.006344646,0.01162344,0.03201988,0.007138407,0.1901161],"genre_scores_gemma":[0.2159613,0.08842413,0.004182923,0.007656549,0.001621675,0.0002054004,0.00104001,0.001160362,0.6797476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4896315,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1681252866248495,"score_gpt":0.3320533054838763,"score_spread":0.1639280188590268,"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."}}