{"id":"W4234513511","doi":"10.36510/learnland.v11i1.916","title":"Editorial","year":2018,"lang":"en","type":"editorial","venue":"LEARNing Landscapes","topic":"","field":"","cited_by":1,"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":[0.001349968,0.0007120993,0.0008293765,0.000348118,0.0004124756,0.0003990459,0.0008650933,0.002837294,0.001500273],"category_scores_gemma":[0.01021347,0.0006547243,0.000283191,0.0003610396,0.0001086613,0.0001815809,0.0002870178,0.004228562,0.04867014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863992,"about_ca_system_score_gemma":0.0005308697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001093055,"about_ca_topic_score_gemma":0.0001070081,"domain_scores_codex":[0.9944597,0.0004351811,0.0004940641,0.001025705,0.002701567,0.000883815],"domain_scores_gemma":[0.995969,0.001658697,0.0006249823,0.0006255182,0.0009080199,0.0002137769],"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":[0.0002195787,0.00003255947,0.0001016048,0.00006533934,0.000134295,0.000008519439,0.000240421,0.00004685935,0.00006698384,0.000003671408,0.9989244,0.0001558032],"study_design_scores_gemma":[0.001043856,0.0003395267,0.000004539958,0.0001952181,0.0001543245,0.000001045439,0.00002755227,0.00006278194,0.00001731418,0.00004865568,0.9973225,0.0007827037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008148949,0.0002170921,0.000006623738,0.00001110815,0.9821483,0.0001646964,0.0002026286,0.001414988,0.01575309],"genre_scores_gemma":[0.00008589307,0.00004932909,0.0001089763,0.000003418453,0.97976,0.00004294583,0.002936616,0.0005396122,0.01647323],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04716986,"threshold_uncertainty_score":0.9995904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005536798809709048,"score_gpt":0.2534901225199745,"score_spread":0.2479533237102655,"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."}}