{"id":"W4386350393","doi":"10.33137/ijidi.v7i1/2.39394","title":"Information Justice Institute","year":2023,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Public relations; Economic Justice; Work (physics); Political science; Poverty; Information needs; Sociology; Community engagement; Library science; Engineering; Law; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002168967,0.00007410171,0.00008503114,0.0004234608,0.002588436,0.0003961396,0.001498157,0.0000634012,0.0002181847],"category_scores_gemma":[0.0007303089,0.00005572419,0.00009842758,0.000572924,0.0001898205,0.0198315,0.001658615,0.0001739095,0.000599336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923805,"about_ca_system_score_gemma":0.0004742568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003255608,"about_ca_topic_score_gemma":0.00007180371,"domain_scores_codex":[0.997339,0.00006941774,0.0004810313,0.00003414707,0.001919622,0.0001568274],"domain_scores_gemma":[0.9981472,0.000122517,0.0006462588,0.0000892028,0.0008927612,0.0001020603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004237003,0.00007439261,0.00609445,0.00002664102,0.0001426263,0.00002689602,0.4239559,0.006353695,0.0001330137,0.2297925,0.2440839,0.08889233],"study_design_scores_gemma":[0.0006061496,0.00006144539,0.008182607,0.00004717193,0.00003498103,0.00001853545,0.03775752,0.0009733005,0.0002032616,0.007128366,0.9448575,0.0001292045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8064348,0.00001790564,0.005937207,0.1049468,0.01040003,0.0003310975,0.00004373925,0.0001678207,0.07172064],"genre_scores_gemma":[0.9944654,0.0002981636,0.0001995852,0.004107397,0.0004563567,7.19194e-7,0.00005661512,0.000001391796,0.0004144153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7007735,"threshold_uncertainty_score":0.99871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310120811244531,"score_gpt":0.3009854978960017,"score_spread":0.2699734167715486,"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."}}