{"id":"W4213337800","doi":"10.54808/icsit2022.01.104","title":"Where Do We Go From Here? An Interdisciplinary Exploration of Leveraging New Technologies in Education","year":2022,"lang":"en","type":"article","venue":"Proceedings","topic":"Educational Tools and Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Data science; Engineering ethics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03008817,0.0008550228,0.0008126104,0.00394571,0.007509234,0.03825097,0.003052598,0.00592105,0.007664427],"category_scores_gemma":[0.02928133,0.0006468753,0.0007955491,0.005115396,0.02977796,0.044878,0.01202446,0.00656346,0.001263146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006168539,"about_ca_system_score_gemma":0.0110316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0032062,"about_ca_topic_score_gemma":0.00404866,"domain_scores_codex":[0.9775236,0.01761798,0.0005183015,0.0008478406,0.002284879,0.001207393],"domain_scores_gemma":[0.9598153,0.03322218,0.001224137,0.002513222,0.00176152,0.00146366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004410532,0.0001740235,0.001585785,0.0004881776,0.00003221654,0.0003587493,0.05764615,0.0005411563,0.0005773784,0.7895175,0.004821482,0.1442133],"study_design_scores_gemma":[0.00002298995,0.0000985931,0.001241738,0.002412398,0.00004036536,0.0003796428,0.09747616,0.001961082,0.001118064,0.6932673,0.2019159,0.00006568631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09963579,0.04966108,0.1811755,0.2787507,0.00200315,0.0003163363,0.0001281417,0.0004916484,0.3878378],"genre_scores_gemma":[0.87326,0.02422963,0.07937606,0.006007371,0.0004140937,0.0003285901,0.00005171289,0.0002071202,0.01612539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03825097,"threshold_uncertainty_score":0.1591234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08455397392455513,"score_gpt":0.4096981709571198,"score_spread":0.3251441970325647,"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."}}