{"id":"W4409787645","doi":"10.61091/jcmcc127a-326","title":"Application of Artificial Intelligence Technology in Enhancing the Effectiveness of Production-oriented Approach to Literacy Instruction and Instructional Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Literacy; Computer science; Instructional design; Mathematics education; Engineering management; Multimedia; Engineering; Psychology; Pedagogy; Economics","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":[0.00242037,0.0004526057,0.0003070497,0.001260817,0.0002867589,0.001538238,0.0006350899,0.0004346556,0.001250133],"category_scores_gemma":[0.007266138,0.0002516691,0.0004173414,0.0007332346,0.0007862014,0.001479018,0.0008112944,0.0004468682,0.0002182891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006274323,"about_ca_system_score_gemma":0.0009722446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005689798,"about_ca_topic_score_gemma":0.0005888568,"domain_scores_codex":[0.9976529,0.001505685,0.0001388377,0.0001846848,0.0004564119,0.00006141567],"domain_scores_gemma":[0.9961901,0.002972034,0.0002480736,0.0002482586,0.0002619407,0.00007953551],"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":[0.0001538891,0.001051288,0.01202574,0.00168576,0.0001609585,0.0004151507,0.004547677,0.02221397,0.04221334,0.06889424,0.001498606,0.8451394],"study_design_scores_gemma":[0.0005230512,0.005525293,0.05253122,0.002075027,0.0009232899,0.002402171,0.005372447,0.4503302,0.1103188,0.2012014,0.1685581,0.0002389257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1511929,0.002553069,0.8032181,0.001000563,0.0001022922,0.0006251642,0.0000240362,0.0005822738,0.04070164],"genre_scores_gemma":[0.4918382,0.001751454,0.5038478,0.0001687821,0.00003724157,0.0003486512,0.00002655256,0.00003904246,0.001942315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00242037,"threshold_uncertainty_score":0.01280028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465997949005336,"score_gpt":0.2904214778986003,"score_spread":0.2757614984085469,"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."}}