{"id":"W2239482684","doi":"","title":"The match game: Instructional design for every learner","year":2005,"lang":"en","type":"article","venue":"University of Washington Tacoma Digital Commons (University of Washington Tacoma)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00100857,0.0002753716,0.0004721339,0.000316063,0.002634813,0.0002011407,0.001774359,0.00029094,0.0001543333],"category_scores_gemma":[0.0002713138,0.0003257635,0.0004805553,0.0006111099,0.00142047,0.002485966,0.0004171193,0.0005152918,0.00004030679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000326733,"about_ca_system_score_gemma":0.0006158444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049921,"about_ca_topic_score_gemma":0.003283106,"domain_scores_codex":[0.997498,0.0003322079,0.0002838311,0.0004513431,0.0007841906,0.0006504168],"domain_scores_gemma":[0.9969723,0.001244103,0.0006071333,0.0004517958,0.0004586757,0.0002660067],"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":[0.004071924,0.001987861,0.02181782,0.0002710261,0.001414243,0.00009285999,0.04189055,0.008606638,0.001641625,0.1815168,0.1226452,0.6140435],"study_design_scores_gemma":[0.001627109,0.0002497707,0.002757795,0.00009390433,0.0001271072,0.000006404367,0.06215335,0.001795942,0.0001585195,0.001866447,0.9287025,0.0004611369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360441,0.0001452774,0.01496984,0.01733425,0.00031024,0.0007337688,0.0002327887,0.0002835565,0.0299462],"genre_scores_gemma":[0.9630619,0.0001667807,0.01996523,0.00003685508,0.0001693338,1.554195e-7,0.00006741015,0.00003150112,0.01650084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8060573,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051552478795637,"score_gpt":0.2369534563999567,"score_spread":0.2164379316120003,"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."}}