{"id":"W4206998715","doi":"10.36510/learnland.v14i1.1057","title":"Editorial","year":2021,"lang":"en","type":"editorial","venue":"LEARNing Landscapes","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"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","insufficient_payload"],"category_scores_codex":[0.0009709608,0.0006729148,0.0009548456,0.0002605266,0.0003229266,0.000531685,0.0006304903,0.002634251,0.001429613],"category_scores_gemma":[0.01218772,0.0006618517,0.0003657193,0.000458676,0.00004420533,0.0001551046,0.0003214594,0.005680415,0.009614493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001933453,"about_ca_system_score_gemma":0.0009246725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059562,"about_ca_topic_score_gemma":0.000122312,"domain_scores_codex":[0.994275,0.0005844004,0.0004864629,0.001046455,0.002808079,0.0007995716],"domain_scores_gemma":[0.9957155,0.002093558,0.0005018259,0.000596265,0.0008883972,0.0002044807],"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":[0.00009288577,0.00004398553,0.0001003311,0.0001020793,0.0001750105,0.00005281073,0.0001967532,0.000322473,0.0001557316,0.00000597583,0.9984984,0.0002535254],"study_design_scores_gemma":[0.001006956,0.0001065883,0.00000361333,0.0002766475,0.0001710773,0.000001638778,0.00007502276,0.00004965916,0.00002517873,0.00001782813,0.997505,0.0007607855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004754866,0.001085879,0.000006177763,0.00001840453,0.9869709,0.000118642,0.0001891115,0.001008864,0.01055446],"genre_scores_gemma":[0.00006310392,0.0001500997,0.0001087314,0.000003924804,0.9747892,0.00004484175,0.007086024,0.00048933,0.01726471],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01218168,"threshold_uncertainty_score":0.9995832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005466204127965849,"score_gpt":0.2493223625489593,"score_spread":0.2438561584209935,"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."}}