{"id":"W6948275362","doi":"10.4224/21275106","title":"Social, technical and economic realities collide: the perfect storm for personal learning","year":2015,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Experiential learning; Training (meteorology); Open learning; Active learning (machine learning); Face-to-face; Synchronous learning; Storm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003464959,0.0003939598,0.0004105015,0.001535317,0.00627104,0.01546882,0.0007538907,0.00367085,0.02800712],"category_scores_gemma":[0.008639856,0.0003527978,0.0004616514,0.002074774,0.0077122,0.01995748,0.01150119,0.00789601,0.004338049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003710921,"about_ca_system_score_gemma":0.006006436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00324738,"about_ca_topic_score_gemma":0.00680914,"domain_scores_codex":[0.9961694,0.0009798341,0.00007850942,0.0002814741,0.001617579,0.0008732683],"domain_scores_gemma":[0.9937201,0.002124592,0.0006354166,0.000604088,0.0008641293,0.002051643],"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":[0.00009764066,0.0001756714,0.01073106,0.0001981655,0.00003924319,0.0008809905,0.007315797,0.0007071097,0.0005374023,0.4823838,0.3551802,0.1417529],"study_design_scores_gemma":[0.00001722897,0.00005885728,0.009472619,0.0004433524,0.00001395702,0.0008138716,0.01902621,0.0007895012,0.0003598054,0.3311237,0.6378221,0.00005888266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0688523,0.007140853,0.006188412,0.5179207,0.002533062,0.00008068582,0.0007529735,0.0003024102,0.3962285],"genre_scores_gemma":[0.8288739,0.01783166,0.005621206,0.05638697,0.005515693,0.0001555463,0.0006969338,0.0003309622,0.08458715],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02800712,"threshold_uncertainty_score":0.09369314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08985344150892224,"score_gpt":0.3511646888514219,"score_spread":0.2613112473424997,"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."}}