{"id":"W4280617218","doi":"10.1097/01.cot.0000832072.72279.6e","title":"Shop talk","year":2022,"lang":"en","type":"article","venue":"Oncology Times","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001294279,0.001244811,0.0008281096,0.001398113,0.003034973,0.007762928,0.001731582,0.003950875,0.8087316],"category_scores_gemma":[0.007749279,0.0004487934,0.0008962068,0.0008369333,0.0007167557,0.004351051,0.004697959,0.004527228,0.6764255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525403,"about_ca_system_score_gemma":0.002383089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001717668,"about_ca_topic_score_gemma":0.003597549,"domain_scores_codex":[0.998613,0.0002237786,0.00006286267,0.0002726708,0.0005784377,0.0002492967],"domain_scores_gemma":[0.9956814,0.0004679689,0.0001255258,0.0002891898,0.001465789,0.001970108],"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":[0.00001835215,0.0000164001,0.00006451301,0.00003067737,0.000001518014,0.00006067879,0.00003609356,0.000009793191,0.00004831294,0.00128827,0.9743099,0.0241156],"study_design_scores_gemma":[0.000004478455,0.000007304309,0.00009688831,0.00002935843,9.49232e-7,0.00007742813,0.0000940767,0.00001318193,0.00002208931,0.0004540009,0.9991967,0.000003609635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0008558584,0.003186963,0.00192027,0.04688162,0.06769484,0.0002546488,0.00267997,0.003043449,0.8734824],"genre_scores_gemma":[0.003025708,0.001379149,0.0006280415,0.01673818,0.007265939,0.00009888534,0.001235601,0.000772841,0.9688557],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8087316,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03439930018503596,"score_gpt":0.3662236639485787,"score_spread":0.3318243637635427,"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."}}