{"id":"W2548283510","doi":"10.1109/ccece.2016.7726763","title":"Human blastocyst segmentation using neural network","year":2016,"lang":"en","type":"article","venue":"","topic":"AI in cancer detection","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial neural network; Discrete cosine transform; Backpropagation; JPEG; Artificial intelligence; Segmentation; Pattern recognition (psychology); Image segmentation; Feedforward neural network; Computer vision; Data compression; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009189686,0.00005829126,0.00004721754,0.00002808977,0.0001339858,0.00005616272,0.0002134996,0.0000228331,0.00005566653],"category_scores_gemma":[0.000003015308,0.00004007801,0.00002222948,0.000160679,0.00001894785,0.0005528699,0.0000885272,0.00002656779,0.00003441305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191108,"about_ca_system_score_gemma":0.0000131182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003459866,"about_ca_topic_score_gemma":0.00002815749,"domain_scores_codex":[0.9993897,0.00002994383,0.0001044209,0.0001876946,0.0001273308,0.0001609141],"domain_scores_gemma":[0.9996493,0.00002343605,0.00004984832,0.0002183435,0.00002597407,0.0000331128],"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":[0.000009863335,0.00003150675,0.006304774,0.00001036471,0.00002892335,0.000008606859,0.0002920694,0.02548891,0.3906925,0.03129232,0.009201014,0.5366391],"study_design_scores_gemma":[0.001955987,0.0005528903,0.01893312,0.0001112765,0.00001974378,0.0001112234,0.00004195501,0.8644711,0.08561397,0.02241563,0.004883052,0.0008900248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1564446,0.000007259839,0.841442,0.0002905408,0.0005714954,0.00006968321,1.267925e-7,0.0001690171,0.00100521],"genre_scores_gemma":[0.9549121,7.065248e-7,0.04402346,0.0002200723,0.0002954343,0.000005263794,9.635089e-8,0.000005340645,0.0005375294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8389822,"threshold_uncertainty_score":0.1634334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263712937762351,"score_gpt":0.2871942406956451,"score_spread":0.2545571113180216,"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."}}