{"id":"W2271359107","doi":"10.1007/978-3-319-07887-8_62","title":"A Regional Web-Based Automated Quality Control Platform","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Computer science; Upload; Software; Mammography; Vendor; Quality (philosophy); Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.002071955,0.0009084122,0.000940153,0.002221218,0.0004682832,0.002464189,0.002712322,0.0009928723,0.01963775],"category_scores_gemma":[0.002848207,0.0004815843,0.0006445346,0.001460933,0.0004099313,0.002315406,0.002646692,0.00095241,0.01688778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007806542,"about_ca_system_score_gemma":0.001426655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004138262,"about_ca_topic_score_gemma":0.002026641,"domain_scores_codex":[0.9988775,0.0001401495,0.00007727136,0.0002967311,0.000484145,0.0001242256],"domain_scores_gemma":[0.997433,0.0003519106,0.0001668762,0.0010408,0.0007377414,0.0002697258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002327742,0.0009470033,0.006771071,0.0006429282,0.0003083677,0.0007583348,0.0005407502,0.0275679,0.1041175,0.01615177,0.1476403,0.6922263],"study_design_scores_gemma":[0.00055541,0.0007090164,0.01336808,0.0001742204,0.0003000225,0.0009554973,0.0002739426,0.502542,0.1083158,0.01808485,0.3543956,0.0003257343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02179383,0.000648035,0.66705,0.0004045874,0.0001717832,0.0006278955,0.003935944,0.272479,0.03288897],"genre_scores_gemma":[0.440795,0.0008331717,0.451526,0.0008625835,0.000327923,0.0008087014,0.02374681,0.0163431,0.06475687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01963775,"threshold_uncertainty_score":0.06569487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593135510200973,"score_gpt":0.2735371386623486,"score_spread":0.2476057835603389,"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."}}