{"id":"W4383893458","doi":"10.36510/learnland.v16i1.1111","title":"Editorial","year":2023,"lang":"en","type":"editorial","venue":"LEARNing Landscapes","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University; American Educational Research Association","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001473929,0.000672125,0.0008458189,0.0004696154,0.0003493365,0.0003809475,0.0007966257,0.002584614,0.0003717018],"category_scores_gemma":[0.02180843,0.0006398414,0.0003149452,0.0006718319,0.00004850869,0.0001454473,0.0003262354,0.005285688,0.0845908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817911,"about_ca_system_score_gemma":0.0004692649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916298,"about_ca_topic_score_gemma":0.0001695169,"domain_scores_codex":[0.9942525,0.0003931391,0.000492964,0.0009709052,0.002914629,0.0009758353],"domain_scores_gemma":[0.9931096,0.005132693,0.0005102147,0.0005315898,0.000506998,0.0002088712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001261736,0.00002080602,0.00007299403,0.00009817052,0.0001501677,0.00002775818,0.0001987173,0.0006156833,0.00004973624,0.000004836191,0.9984197,0.0002152454],"study_design_scores_gemma":[0.0008943466,0.0001451102,0.000007673317,0.000214885,0.0001369198,3.682328e-7,0.00004906791,0.0001150556,0.000004728791,0.00004557614,0.9976523,0.0007340014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003213105,0.0001331463,0.000002814603,0.00002021917,0.9909251,0.0001532518,0.0003130018,0.00402985,0.00439047],"genre_scores_gemma":[0.00002755593,0.0001096072,0.00002999655,0.000001519255,0.9685355,0.00007559219,0.004913937,0.0008732471,0.02543308],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0842191,"threshold_uncertainty_score":0.9996053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007479620070528503,"score_gpt":0.2617391284208366,"score_spread":0.2542595083503081,"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."}}