{"id":"W3202053570","doi":"10.1002/path.5809","title":"Untangling the complexities of micropapillary cancer<sup>†</sup>","year":2021,"lang":"en","type":"letter","venue":"The Journal of Pathology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; Cancer Research UK; Medical Research Council; Department of Education and Learning, Northern Ireland; AstraZeneca","keywords":"Multicellular organism; Colorectal cancer; Cancer; Biology; Polarity (international relations); Morphology (biology); Phenotype; Pathology; Cancer research; Cell biology; Medicine; Cell; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009274784,0.0002317201,0.001014314,0.0001392076,0.00009254691,0.00001048084,0.0003957414,0.0002772051,0.0006926545],"category_scores_gemma":[0.00007957493,0.0001162877,0.0004180871,0.0001605586,0.0005144957,0.0000215759,0.0001114688,0.002202999,0.000003969339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028054,"about_ca_system_score_gemma":0.0005506866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001447579,"about_ca_topic_score_gemma":0.00002241757,"domain_scores_codex":[0.9978628,0.0005662892,0.0007438714,0.0001281247,0.0003976819,0.0003012602],"domain_scores_gemma":[0.9976326,0.0004645842,0.0009369813,0.0004706703,0.0004529631,0.00004218243],"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":[0.00028475,0.00004225314,0.0001940192,0.0005529656,0.0007696074,0.00793686,0.003598402,0.0001917675,0.01176131,0.0000218013,0.9712719,0.003374411],"study_design_scores_gemma":[0.001094185,0.0004770574,0.0002108816,0.0008729004,0.002580965,0.02810989,0.00271794,0.00001186881,0.005482852,0.0003386052,0.957935,0.0001678387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1477343,0.1009949,0.0001597395,0.7477997,0.001503436,0.0002761634,0.0001777203,0.000007903243,0.001346184],"genre_scores_gemma":[0.037925,0.04518703,0.001358454,0.8877604,0.02294196,0.00001011387,0.00007151748,0.0001494757,0.004596028],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1399607,"threshold_uncertainty_score":0.9571056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04693958321980995,"score_gpt":0.2942374996116166,"score_spread":0.2472979163918066,"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."}}