{"id":"W2520042235","doi":"10.6084/m9.figshare.3502238.v1","title":"MNI T1 6thGen NLIN to MNI 2009b NLIN ANTs transform","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510713,0.005024669,0.002549325,0.004362556,0.001258174,0.003070775,0.005750912,0.002906015,0.1135144],"category_scores_gemma":[0.00704811,0.001375793,0.002514513,0.004434096,0.0007637255,0.002472204,0.003819491,0.003376292,0.2315272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140795,"about_ca_system_score_gemma":0.002758815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660759,"about_ca_topic_score_gemma":0.04018089,"domain_scores_codex":[0.9987918,0.0002081543,0.0001454643,0.0004983353,0.0002024619,0.0001538944],"domain_scores_gemma":[0.9987416,0.0001993316,0.0001154512,0.0005241117,0.0003057673,0.0001137751],"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":[0.0001308822,0.00002914104,0.0004802074,0.0005467978,0.00009036608,0.00003447648,0.00002264849,0.0002997159,0.000267766,0.0004813199,0.9907818,0.006834846],"study_design_scores_gemma":[0.0005110044,0.00006837652,0.004280171,0.0002600645,0.000137175,0.0004389558,0.00006669417,0.001789046,0.001813033,0.004730492,0.9858304,0.00007456198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007890094,0.0003904609,0.001609119,0.0001765739,0.0001062012,0.00009128422,0.9866613,0.006846941,0.003329032],"genre_scores_gemma":[0.0011809,0.0001132268,0.002323061,0.00009577396,0.00002071735,0.0003121494,0.9926565,0.0009700241,0.002327724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1135144,"threshold_uncertainty_score":0.3797434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06818627009803045,"score_gpt":0.3577521673937977,"score_spread":0.2895658972957672,"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."}}