{"id":"W4394196335","doi":"10.6084/m9.figshare.16676809.v2","title":"rawdata.xlsx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001509919,0.002807764,0.00188505,0.003726737,0.001356219,0.00366364,0.00320479,0.002444947,0.3530841],"category_scores_gemma":[0.008677655,0.001267025,0.001627969,0.00749836,0.0007258602,0.002486273,0.003651546,0.003009765,0.3200381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429306,"about_ca_system_score_gemma":0.003132947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010009,"about_ca_topic_score_gemma":0.03074513,"domain_scores_codex":[0.9986255,0.000170367,0.0002318837,0.0004072666,0.0002880429,0.0002768158],"domain_scores_gemma":[0.9970223,0.0009559339,0.0002491349,0.0005659483,0.0009381461,0.0002685675],"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":[0.00004687261,0.00001745032,0.0003048592,0.001094941,0.00001967967,0.00001411246,0.00002972998,0.0001271516,0.0001274203,0.0003673564,0.9962275,0.001623026],"study_design_scores_gemma":[0.0002273922,0.00001443207,0.002199901,0.0003118227,0.00002333453,0.00002649366,0.00008602229,0.0001444782,0.0003373403,0.00134861,0.9952437,0.00003643987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003354913,0.00001974934,0.00005305908,0.00003892205,0.00002100601,0.00001231485,0.9989328,0.0004006395,0.0004878078],"genre_scores_gemma":[0.0002265692,0.00004459333,0.0003487913,0.00006918221,0.000008140224,0.0001742235,0.9978661,0.0003520053,0.0009105124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6469159,"threshold_uncertainty_score":0.9227471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574003680647216,"score_gpt":0.2510613094496711,"score_spread":0.225321272643199,"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."}}