{"id":"W4391225779","doi":"10.3991/ijet.v19i02.43879","title":"10.3991/ijet.v19i02.43879","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing; Grammar; Artificial intelligence; Natural (archaeology); Linguistics; Natural language; Information retrieval; History","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006914618,0.000945397,0.0007594581,0.002695608,0.0007215459,0.003313041,0.001097455,0.002400191,0.8136235],"category_scores_gemma":[0.00178027,0.0003592496,0.0006072622,0.003208355,0.0005369359,0.002196527,0.001215219,0.0009547145,0.7954708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005820245,"about_ca_system_score_gemma":0.0005696874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197689,"about_ca_topic_score_gemma":0.001354193,"domain_scores_codex":[0.9995013,0.00009740989,0.00004852526,0.00009282311,0.0001594211,0.0001004398],"domain_scores_gemma":[0.9991803,0.0003383918,0.00004584585,0.0001643854,0.0001515622,0.0001195644],"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":[0.0003447791,0.00069973,0.002651174,0.0004092346,0.00002884045,0.0002484104,0.00007616337,0.002280333,0.005898078,0.00495961,0.1555128,0.8268908],"study_design_scores_gemma":[0.0001712335,0.0003437704,0.006452588,0.0004999904,0.00005382225,0.002050292,0.0003872814,0.02005573,0.00698463,0.007413629,0.9555243,0.0000626978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01337908,0.001781859,0.02913068,0.001327482,0.001900993,0.0002715849,0.003882461,0.005058503,0.9432674],"genre_scores_gemma":[0.04062343,0.001553318,0.01810509,0.0005272922,0.0004562023,0.0001751809,0.006002511,0.0009720592,0.9315849],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1863765,"threshold_uncertainty_score":0.2658435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006041496306934447,"score_gpt":0.2116108756994585,"score_spread":0.205569379392524,"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."}}