{"id":"W6884643972","doi":"10.11575/prism/33440","title":"Building generic anatomical models using virtual model cutting and iterative registration","year":2010,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genome Alberta; Genome Canada","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001155248,0.002672794,0.001353679,0.002530967,0.0006475627,0.002605198,0.004619761,0.001503707,0.06644148],"category_scores_gemma":[0.002271703,0.001866436,0.002473137,0.001721009,0.0007470716,0.001691062,0.00436255,0.002172007,0.04070714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092267,"about_ca_system_score_gemma":0.002302371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204197,"about_ca_topic_score_gemma":0.02773065,"domain_scores_codex":[0.9986804,0.00009157643,0.00006576957,0.0002427063,0.000807713,0.0001117598],"domain_scores_gemma":[0.9991097,0.0001103204,0.00003845732,0.0004376743,0.0002455364,0.00005822343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002234721,0.0001322097,0.0007734555,0.0004360517,0.0001875677,0.0003609171,0.0002595978,0.05123002,0.01780527,0.03671186,0.1864128,0.7054668],"study_design_scores_gemma":[0.0001496216,0.00006405164,0.001352014,0.0001416226,0.0001025211,0.0009876923,0.0001076812,0.4706152,0.04886095,0.02190314,0.4555665,0.0001490869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001241568,0.00005980989,0.9341218,0.0000509679,0.00005828472,0.0001513813,0.001675766,0.04030379,0.02233656],"genre_scores_gemma":[0.0241521,0.0001740627,0.9059498,0.00007409407,0.00001875526,0.000192569,0.01057805,0.0198767,0.03898383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06644148,"threshold_uncertainty_score":0.2222689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238612477710034,"score_gpt":0.2317387459021369,"score_spread":0.2078774981311335,"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."}}