{"id":"W4394528959","doi":"10.6084/m9.figshare.11106794","title":"<i>Keyboard warriors</i>? Visualising technology and well-being <i>with, for</i> and <i>by</i> indigenous youth through digital stories","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Visual arts; Multimedia; Computer science; Art; Biology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.001203068,0.0007419731,0.0005150059,0.003999433,0.0007942886,0.001611419,0.001297886,0.00108058,0.03004699],"category_scores_gemma":[0.007924187,0.0002996212,0.0008942203,0.004954959,0.0004037928,0.001180365,0.002389141,0.001022682,0.02062812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376433,"about_ca_system_score_gemma":0.001417234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0734606,"about_ca_topic_score_gemma":0.1879792,"domain_scores_codex":[0.9992113,0.0002547689,0.0001230474,0.0001457461,0.0001389088,0.0001261774],"domain_scores_gemma":[0.9967391,0.001154567,0.000414169,0.0005615593,0.000842975,0.0002875001],"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":[0.000179755,0.00004421339,0.01060847,0.003139948,0.00008297209,0.00007927134,0.0007899321,0.0003266999,0.0003143619,0.001224054,0.9708363,0.01237408],"study_design_scores_gemma":[0.0001247277,0.00002684866,0.03598222,0.001316818,0.00005790099,0.0001118005,0.00191922,0.0004368639,0.0005474701,0.0009222568,0.9585068,0.00004696555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001120054,0.0001383949,0.0001028528,0.0001231207,0.00002628985,0.00002749457,0.9970111,0.0001296783,0.001321084],"genre_scores_gemma":[0.002848801,0.0001787105,0.0006902829,0.00006869622,0.00001153979,0.0002322472,0.9941711,0.00004814286,0.001750615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0734606,"threshold_uncertainty_score":0.1460661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655047061249517,"score_gpt":0.3562098449317006,"score_spread":0.3096593743192054,"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."}}