{"id":"W2947772395","doi":"10.1111/bjet.12819","title":"Affective potentials in informal technology‐enhanced learning settings","year":2019,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Globe; Embodied cognition; Sociology; Section (typography); Emerging technologies; Value (mathematics); Informal learning; Psychology; Epistemology; Computer science; Pedagogy; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003323093,0.0002910297,0.0002450263,0.0007221843,0.003680397,0.00810364,0.0008500877,0.001016156,0.004907422],"category_scores_gemma":[0.008556983,0.0001725113,0.0003452195,0.0005795441,0.00879135,0.005569632,0.00812369,0.002153269,0.0004148113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123533,"about_ca_system_score_gemma":0.0007859066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005074573,"about_ca_topic_score_gemma":0.0005958095,"domain_scores_codex":[0.9946921,0.003690923,0.0001521971,0.0002933141,0.0007358742,0.000435412],"domain_scores_gemma":[0.9949976,0.003257742,0.0004925597,0.0002567894,0.0003065112,0.0006887812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002325613,0.0002078758,0.008739049,0.0007676604,0.00004505578,0.001572583,0.6445935,0.0008332026,0.004064306,0.2560259,0.005007962,0.07791036],"study_design_scores_gemma":[0.0000710621,0.0004239338,0.03439473,0.000785455,0.00006087993,0.002198565,0.5966508,0.001881899,0.002695133,0.1784943,0.1821948,0.0001484213],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6826894,0.002956015,0.02299331,0.005186103,0.0005594004,0.0001978511,0.00007597965,0.0001265436,0.2852153],"genre_scores_gemma":[0.9957248,0.000260261,0.0007233278,0.0002449895,0.00003578853,0.00006229053,0.000009621343,0.0000147604,0.002924006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00810364,"threshold_uncertainty_score":0.01757443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089886336217126,"score_gpt":0.345477341583568,"score_spread":0.3345784782213967,"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."}}