{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100692,0.003173464,0.001536577,0.002061351,0.0006962064,0.001155205,0.00338874,0.003077033,0.01832056],"category_scores_gemma":[0.002860867,0.0006311312,0.001567585,0.002194442,0.0006960303,0.0009293986,0.001912527,0.001577774,0.03966539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879022,"about_ca_system_score_gemma":0.001226262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113706,"about_ca_topic_score_gemma":0.05491265,"domain_scores_codex":[0.9987639,0.0001837269,0.0001168845,0.0002868683,0.0004671227,0.0001814898],"domain_scores_gemma":[0.9985825,0.0002446978,0.0001320194,0.0004378837,0.0004447534,0.0001582005],"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":[0.0005543694,0.0003687367,0.003049302,0.001333129,0.0001114685,0.0002080365,0.00007313067,0.001947091,0.001900384,0.0004600314,0.9704018,0.01959252],"study_design_scores_gemma":[0.0009002914,0.0006561288,0.03949349,0.0004866022,0.0001556182,0.001017356,0.0004161341,0.01267502,0.008016837,0.002213354,0.9337197,0.0002494782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00619676,0.0004526785,0.001396174,0.0001960588,0.0001726537,0.000161931,0.9851859,0.003397446,0.002840419],"genre_scores_gemma":[0.004989554,0.00007924495,0.00148721,0.00007631895,0.00001856216,0.0001904502,0.9911896,0.0000964417,0.001872479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02113706,"threshold_uncertainty_score":0.06128836,"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."}}