{"id":"W2090801520","doi":"10.1598/rt.58.2.10","title":"Process/Content/Design/Critique: Generative and Dynamic Evaluation in a Digital World","year":2004,"lang":"en","type":"article","venue":"The Reading Teacher","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generative grammar; Process (computing); Dynamic assessment; Literacy; Psychology; Work (physics); Multimedia; Mathematics education; Pedagogy; Computer science; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004952928,0.00009115331,0.00008672767,0.00008687077,0.0001411549,0.0002433783,0.00006828123,0.00001910949,0.0001351843],"category_scores_gemma":[0.000112574,0.00006084015,0.00001721171,0.00004559602,0.00009916845,0.0005129713,0.000009278022,0.0001268402,0.00002189458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250742,"about_ca_system_score_gemma":0.00007295447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001779847,"about_ca_topic_score_gemma":0.0006316775,"domain_scores_codex":[0.9993918,0.00005512959,0.0001376252,0.0001378678,0.000137743,0.0001398134],"domain_scores_gemma":[0.9996997,0.00005223704,0.000042962,0.00009661414,0.00008107928,0.00002741935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000175984,0.0001261476,0.0005841252,0.00001781877,0.00001587945,9.191972e-7,0.9769921,0.00006189516,0.00004130272,0.007627484,0.0002662066,0.01424854],"study_design_scores_gemma":[0.003408728,0.0003208015,0.00848021,0.0008798497,0.0002067263,0.00002487384,0.4902766,0.01754382,0.0009055012,0.4728574,0.004097712,0.0009978104],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916003,0.0003796677,0.0001440002,0.001824824,0.0002151272,0.0003383123,0.00000291006,0.00003476454,0.005460056],"genre_scores_gemma":[0.9925312,0.000009208075,0.00005141947,0.0001599877,0.0003170022,0.00008871817,0.00002198676,0.0000125177,0.006807922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4867155,"threshold_uncertainty_score":0.2480989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08489063605959975,"score_gpt":0.3140953218602744,"score_spread":0.2292046858006747,"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."}}