{"id":"W2790273777","doi":"10.36510/learnland.v11i1.930","title":"Educating About and For the Future","year":2018,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Bridge (graph theory); Citizenship; Sociology; Curriculum; Pedagogy; Public relations; Engineering ethics; Media studies; Political science; Engineering; Business; Law","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":[0.003232557,0.0003070391,0.0002565459,0.0005283837,0.005294085,0.009461751,0.0005680166,0.002793828,0.01215194],"category_scores_gemma":[0.006819477,0.0001571452,0.0002882204,0.0003828769,0.00675269,0.01248033,0.005580119,0.004425526,0.003181104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112569,"about_ca_system_score_gemma":0.002976112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008568619,"about_ca_topic_score_gemma":0.002319071,"domain_scores_codex":[0.9983202,0.0008862723,0.00004329382,0.0001178608,0.0003760362,0.0002562891],"domain_scores_gemma":[0.9968022,0.001209242,0.0003339166,0.0002625026,0.0003432075,0.001049002],"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":[0.00001285775,0.0001165821,0.004533247,0.0001265269,0.0000201637,0.0005784185,0.1116563,0.0001910358,0.001164513,0.53118,0.1930664,0.157354],"study_design_scores_gemma":[0.000001542088,0.00002265976,0.0005181287,0.0001873594,0.00000406121,0.0002303594,0.03507224,0.00005135749,0.0002230351,0.04676719,0.9169122,0.000009879859],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03940683,0.007684962,0.01531593,0.2574204,0.004759072,0.00005363686,0.00006558859,0.0003271495,0.6749665],"genre_scores_gemma":[0.7028733,0.01137608,0.0177386,0.03275229,0.001589567,0.0001183077,0.0001658874,0.0002709299,0.233115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01215194,"threshold_uncertainty_score":0.04065233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542079690822359,"score_gpt":0.2579762676654099,"score_spread":0.2425554707571863,"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."}}