{"id":"W2560437625","doi":"10.18733/c3k884","title":"CPI Welcomes Maria Wallis and Cecille DePass' Special Issue","year":2016,"lang":"en","type":"article","venue":"Cultural and Pedagogical Inquiry","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001545639,0.0001878347,0.0002109273,0.00003960632,0.0002986758,0.0002807766,0.000553025,0.0001097377,0.0003451827],"category_scores_gemma":[0.00008454947,0.00009613882,0.00004108975,0.000109262,0.0004085353,0.0006452273,0.0008759665,0.0001345378,0.0001131985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002401445,"about_ca_system_score_gemma":0.0000191806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002709532,"about_ca_topic_score_gemma":0.00001527029,"domain_scores_codex":[0.9989141,0.000102482,0.0001973936,0.0002885397,0.0001994267,0.0002980279],"domain_scores_gemma":[0.9992131,0.0002362017,0.00004750628,0.0002819088,0.00008082325,0.0001404769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005884391,0.00009769958,0.008243771,0.00007608897,0.00007691178,0.00009256835,0.04884033,6.089642e-7,0.001934557,0.3000286,0.1777401,0.46281],"study_design_scores_gemma":[0.0006261407,0.0001516692,0.05447711,0.00008841963,0.000008368061,0.000153701,0.001690652,0.00006527244,0.0005493693,0.01537929,0.9262889,0.0005211325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408385,0.001169768,0.004999238,0.02701667,0.002873926,0.0002126021,0.000009135315,0.0003390441,0.02254116],"genre_scores_gemma":[0.9364577,0.003127231,0.01626182,0.002313879,0.008744282,0.00003012587,0.000009696876,0.00002005091,0.0330352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7485488,"threshold_uncertainty_score":0.3920427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4812490336306749,"score_gpt":0.4146332745313386,"score_spread":0.06661575909933637,"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."}}