{"id":"W2105984075","doi":"10.1054/mehy.2001.1469","title":"Spontaneous regression: a hidden treasure buried in time","year":2002,"lang":"en","type":"article","venue":"Medical Hypotheses","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Royal Jubilee Hospital; University of British Columbia","funders":"","keywords":"Treasure; Regression; Regression analysis; Computer science; Geography; Statistics; Archaeology; Mathematics; Machine learning","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":[0.02578336,0.000581344,0.001316624,0.001866073,0.00155011,0.00584754,0.002909078,0.005369007,0.008739529],"category_scores_gemma":[0.13467,0.0008345632,0.000724391,0.001166956,0.02063695,0.0241328,0.004402618,0.008070786,0.001269597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664258,"about_ca_system_score_gemma":0.00175806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009843581,"about_ca_topic_score_gemma":0.0009734543,"domain_scores_codex":[0.9898509,0.006041259,0.0005032618,0.001482263,0.001623016,0.0004994145],"domain_scores_gemma":[0.8857046,0.08030475,0.01021285,0.01762942,0.003943088,0.002205437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"case_report","study_design_scores_codex":[0.0006674253,0.00009938715,0.01171751,0.0006085252,0.0002897146,0.00144574,0.008585282,0.002788401,0.001667669,0.8233838,0.02564972,0.1230968],"study_design_scores_gemma":[0.00005150017,0.00006449774,0.002967202,0.0003184621,0.00005410209,0.0008085429,0.001717341,0.003823908,0.0004981128,0.9650042,0.02462084,0.0000712182],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09884852,0.05171447,0.3879941,0.3848997,0.01066015,0.0001446682,0.001627946,0.0008320058,0.0632784],"genre_scores_gemma":[0.9343563,0.006777668,0.03003685,0.01525033,0.007128451,0.0001149219,0.0003845967,0.0003231884,0.005627681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02578336,"threshold_uncertainty_score":0.1363571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450707833800574,"score_gpt":0.2749119862178613,"score_spread":0.2404049078798556,"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."}}