{"id":"W3041526246","doi":"10.6018/red.382591","title":"Macro-diseminación de la cultura maker: promoviendo competencias del siglo XXI a través de un Ideatón","year":2020,"lang":"es","type":"article","venue":"Revista de Educación a Distancia (RED)","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Humanities; Political science; Geography; Cartography; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002181254,0.001092128,0.001224223,0.0001782435,0.0009945325,0.00321614,0.002255433,0.0005131194,0.0001569864],"category_scores_gemma":[0.001756367,0.001115034,0.0007656675,0.001603018,0.0004153773,0.0004666648,0.0004070532,0.001925081,0.0001689826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126042,"about_ca_system_score_gemma":0.001843267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001625674,"about_ca_topic_score_gemma":0.000007383219,"domain_scores_codex":[0.9917232,0.002118082,0.001154151,0.001763415,0.0009154507,0.002325744],"domain_scores_gemma":[0.9954824,0.0007106445,0.0006790505,0.001215722,0.0002210479,0.001691072],"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":[0.000461478,0.002557693,0.07756371,0.004046256,0.0007132464,0.003749039,0.1098959,0.0003175951,0.01109975,0.1780432,0.04102401,0.5705281],"study_design_scores_gemma":[0.001381283,0.0005071106,0.04110296,0.001160691,0.0004178034,0.000885051,0.002217642,0.006524514,0.0005227266,0.0004798697,0.943064,0.001736381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4934845,0.04191894,0.4255567,0.02984851,0.0009347661,0.002272228,0.0002141383,0.002517685,0.003252492],"genre_scores_gemma":[0.9091216,0.0005187148,0.08655383,0.001862366,0.001269868,0.0001495436,0.0000537383,0.000158264,0.0003121298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9020399,"threshold_uncertainty_score":0.99913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191303106566947,"score_gpt":0.2720792586823921,"score_spread":0.2601662276167226,"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."}}