{"id":"W6968151153","doi":"10.5281/zenodo.1300284","title":"B5045438/ojs: Test Release","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Université du Québec à Montréal","funders":"","keywords":"Test (biology); Test method; Component (thermodynamics); Control system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005501501,0.0002580025,0.0002321266,0.0004276881,0.001234177,0.001364444,0.002635009,0.0001654348,0.02623716],"category_scores_gemma":[0.0007082758,0.0002625622,0.00008211967,0.0005123678,0.0001193195,0.0001848907,0.001804689,0.0003457014,0.0953161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369026,"about_ca_system_score_gemma":0.000007007017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005410695,"about_ca_topic_score_gemma":4.597507e-7,"domain_scores_codex":[0.9977835,0.0002769804,0.0002616953,0.0007231503,0.0004903774,0.0004642776],"domain_scores_gemma":[0.9981328,0.00003268817,0.0002537086,0.0009901235,0.0003920291,0.0001986228],"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":[0.000002633773,0.00005991265,0.000001220443,0.0000656948,0.00003192692,0.00002740364,0.000292507,0.000003702888,0.0001461995,0.02715034,0.9384989,0.03371961],"study_design_scores_gemma":[0.0001468556,0.0001941118,0.00001491452,0.0002405244,0.000006777548,0.00007685958,0.00003927585,0.0003754007,0.00008147132,0.00006208727,0.9984675,0.0002942166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007915402,0.0001414204,0.108474,0.0001761786,0.0004407154,0.0003244544,0.00005684052,0.002723943,0.8876545],"genre_scores_gemma":[0.001574079,0.00007995246,0.002118139,0.0001091746,0.001258902,4.463013e-8,0.0003127113,0.006229599,0.9883174],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1063559,"threshold_uncertainty_score":0.9999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041177199910643,"score_gpt":0.2385653022756259,"score_spread":0.2081535302765194,"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."}}