{"id":"W4312868755","doi":"10.1109/tmech.2022.3220181","title":"Robotic Blastocyst Biopsy","year":2022,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"University of Toronto; Canada Research Chairs","keywords":"Biopsy; Blastocyst; Computer science; Artificial intelligence; Biomedical engineering; Algorithm; Biology; Embryo; Pathology; Engineering; Cell biology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001958165,0.0002233014,0.0003293151,0.0002851412,0.0004146671,0.000009563316,0.0001161315,0.00006517376,0.001471508],"category_scores_gemma":[0.000006155394,0.0002030318,0.0001743749,0.00046067,0.00005226851,0.00003744464,0.000003478192,0.0008542948,0.0001217746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625792,"about_ca_system_score_gemma":0.0001427516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001783797,"about_ca_topic_score_gemma":0.000003658961,"domain_scores_codex":[0.9985138,0.00006019432,0.0002503446,0.0003316911,0.0004830302,0.000361006],"domain_scores_gemma":[0.9992682,0.00004401383,0.00004578695,0.0004069459,0.00004252,0.0001925484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002408975,0.0008093193,0.0000122425,0.00009302405,0.0002908558,0.000155352,0.0005346102,0.9173352,0.06540561,0.002594145,0.001485218,0.01104354],"study_design_scores_gemma":[0.02026538,0.01656729,0.0004481158,0.0004926886,0.002398151,0.007634118,0.005437936,0.2986538,0.120126,0.0004055326,0.5249203,0.002650685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06626084,0.002158999,0.9224937,0.003914976,0.003725423,0.0005979301,0.00005586633,0.000459087,0.0003331811],"genre_scores_gemma":[0.9710557,0.00005817097,0.003525131,0.000144877,0.000208472,0.0001579679,0.00002511939,0.00006391094,0.02476068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9189686,"threshold_uncertainty_score":0.9994413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556684379043261,"score_gpt":0.2495095190722573,"score_spread":0.2339426752818247,"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."}}