{"id":"W6944535213","doi":"10.21227/7gm9-mt95","title":"Phantom Premium 1.5A Haptic Device","year":2022,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imaging phantom; Task (project management); Set (abstract data type); Haptic technology; Tracking (education); Trajectory; Line (geometry)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003452911,0.0003072545,0.0002850015,0.0000591401,0.0003198972,0.00006517238,0.001115258,0.0001588836,0.07583748],"category_scores_gemma":[0.00003008662,0.0003135811,0.00008878575,0.0003458653,0.000160391,0.0001398865,0.0005153627,0.0005768995,0.006009229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417689,"about_ca_system_score_gemma":0.00005639565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004675124,"about_ca_topic_score_gemma":0.0006793665,"domain_scores_codex":[0.9976975,0.0000620604,0.000360551,0.0008029399,0.0006931516,0.0003838382],"domain_scores_gemma":[0.9975574,0.00005355676,0.0002361452,0.001981074,0.000006673044,0.0001651546],"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":[0.000003907493,0.00008316589,0.00001926993,0.00001705573,0.00001932113,0.00004537412,0.0000139953,0.00007570002,0.0003174015,4.891381e-7,0.998196,0.001208306],"study_design_scores_gemma":[0.00009122879,0.00002356094,0.0001555008,0.0000101315,0.0001026352,0.00007851957,0.00001586637,0.0000779079,0.00007539349,0.00001953473,0.9989934,0.0003563133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000242784,0.00002751438,0.000071243,0.00009386511,0.0007373275,0.0003443884,0.99472,0.0000745162,0.003688364],"genre_scores_gemma":[0.0001164208,0.00008519537,0.0002697165,0.0006381305,0.0001909023,0.00002352813,0.9966654,0.00003137984,0.001979373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06982825,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978202806479723,"score_gpt":0.2691008872397921,"score_spread":0.2493188591749949,"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."}}