{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00515978,0.0008494703,0.0008783211,0.005523442,0.01716955,0.01413097,0.002351549,0.003883895,0.2660317],"category_scores_gemma":[0.01729397,0.0006526476,0.0005110815,0.004042021,0.002403591,0.005464943,0.008692492,0.00924378,0.08021552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008709177,"about_ca_system_score_gemma":0.04111841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02497372,"about_ca_topic_score_gemma":0.04632096,"domain_scores_codex":[0.9897932,0.00113304,0.0004472325,0.00159836,0.00523151,0.001796724],"domain_scores_gemma":[0.9762255,0.003121614,0.0007162462,0.001619321,0.01216848,0.006148702],"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":[0.00005971421,0.0001696008,0.002014192,0.0001464973,0.000007552987,0.0002207542,0.001080574,0.00003571893,0.0002801474,0.06880455,0.8150066,0.1121741],"study_design_scores_gemma":[0.000007277368,0.0000234799,0.001053854,0.0001260519,0.000003871433,0.00009141991,0.0003337397,0.00003782327,0.0001584916,0.001556102,0.9965962,0.00001171292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003793253,0.002769161,0.001747093,0.04100903,0.00301902,0.0003293407,0.003015451,0.001874965,0.9424428],"genre_scores_gemma":[0.02551221,0.002586435,0.004117662,0.01791954,0.0007380646,0.0004763013,0.003305465,0.000613337,0.9447309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2660317,"threshold_uncertainty_score":0.8899648,"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."}}