{"id":"W4252937350","doi":"10.36510/learnland.v10i1","title":"","year":2016,"lang":"","type":"paratext","venue":"LEARNing Landscapes","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.009679453,0.01215739,0.01286884,0.006384838,0.009568573,0.005576384,0.00883964,0.009752179,0.07906622],"category_scores_gemma":[0.00996854,0.009554886,0.005212161,0.005151226,0.001833883,0.004065811,0.004867807,0.0220202,0.7400265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670798,"about_ca_system_score_gemma":0.003202339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000423233,"about_ca_topic_score_gemma":0.000459585,"domain_scores_codex":[0.9360771,0.01941112,0.008474387,0.01297307,0.007832645,0.01523167],"domain_scores_gemma":[0.9593247,0.01163599,0.01506653,0.00577492,0.00339279,0.004805081],"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":[0.02386642,0.002626774,0.2700624,0.007553147,0.01684993,0.002412889,0.02946742,0.2089894,0.09959102,0.0002816439,0.2720973,0.06620158],"study_design_scores_gemma":[0.02184836,0.00483284,0.0104908,0.02140637,0.002694388,0.0008678593,0.002490663,0.004833062,0.002561344,0.0000953378,0.9140571,0.01382185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7243832,0.06540456,0.003805689,0.005064677,0.02162938,0.00754329,0.004222808,0.005714209,0.1622321],"genre_scores_gemma":[0.5589485,0.01402537,0.000259476,0.0001964462,0.01369534,0.0008650413,0.003072559,0.004562215,0.404375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6609603,"threshold_uncertainty_score":0.9983709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282793399552229,"score_gpt":0.2614356316112028,"score_spread":0.2486076976156805,"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."}}