{"id":"W4232735056","doi":"10.1121/1.5037359.2","title":"10.1121/1.5037359.2","year":2018,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Geology","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":[],"category_scores_codex":[0.0001337977,0.0004025023,0.0003265103,0.0002415776,0.0001067943,0.001153154,0.001828083,0.0002369102,0.0002952711],"category_scores_gemma":[0.0001785029,0.00039014,0.0001772601,0.0004522268,0.00005956587,0.0008183993,0.000576287,0.0002997564,0.006664823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093983,"about_ca_system_score_gemma":0.0001368826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003505764,"about_ca_topic_score_gemma":0.00001304647,"domain_scores_codex":[0.9979455,0.00001309622,0.0003520533,0.0006582863,0.0005361499,0.0004949236],"domain_scores_gemma":[0.9981445,0.0001581633,0.0001339307,0.001221524,0.0001285547,0.0002133395],"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":[0.000002041469,0.00007936057,0.000001107931,0.00004647165,0.00003714103,0.00002074565,0.00001440855,0.00004901196,8.370575e-7,0.0005371037,0.9974496,0.001762157],"study_design_scores_gemma":[0.0001007513,0.0001418087,0.00004510181,0.00006746985,0.00001135911,0.0000417907,0.000002934782,0.001013275,0.000003619787,0.0005234381,0.9975762,0.0004721898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000147637,0.0001695849,0.01085736,0.0000943989,0.001999596,0.0001620788,0.9805824,0.0002188073,0.005901044],"genre_scores_gemma":[0.0003622908,0.00002147914,0.002025249,0.0001723082,0.0009928534,0.00003086121,0.9938561,0.00003176074,0.002507092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01327374,"threshold_uncertainty_score":0.9998838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009733723228343016,"score_gpt":0.2333064513712391,"score_spread":0.2235727281428961,"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."}}