{"id":"W4252225461","doi":"10.1121/1.5035162.2","title":"10.1121/1.5035162.2","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":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; Mitacs","keywords":"Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001346121,0.000402964,0.0003272319,0.0002418113,0.0001073347,0.001173402,0.001831205,0.0002374763,0.0002955255],"category_scores_gemma":[0.0001835765,0.000390419,0.000178244,0.0004536952,0.00005985759,0.000819639,0.000583826,0.0003006436,0.006617423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107487,"about_ca_system_score_gemma":0.0001373627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003532102,"about_ca_topic_score_gemma":0.00001268995,"domain_scores_codex":[0.997941,0.00001310955,0.0003536481,0.0006592812,0.0005380029,0.0004949233],"domain_scores_gemma":[0.9981394,0.0001567931,0.0001374707,0.00122346,0.0001298663,0.0002129892],"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":[0.000002014511,0.00008013861,0.000001098998,0.00004690181,0.00003687934,0.00002143192,0.00001363526,0.00004528291,8.636906e-7,0.0005840684,0.9975848,0.001582918],"study_design_scores_gemma":[0.0001005123,0.0001392482,0.00004434444,0.00006723615,0.00001126444,0.00004246102,0.000002889941,0.0009471335,0.000003690548,0.0005318578,0.997637,0.0004723617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001323256,0.0001740567,0.01097812,0.0001071756,0.00202222,0.0001601698,0.980539,0.0002202464,0.005785773],"genre_scores_gemma":[0.0003369501,0.0000214782,0.002011118,0.0001717668,0.001008154,0.0000310448,0.9936066,0.00003215225,0.002780696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01306763,"threshold_uncertainty_score":0.9998634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009729516250876848,"score_gpt":0.2333777299880072,"score_spread":0.2236482137371303,"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."}}