{"id":"W2901048144","doi":"10.48550/arxiv.1811.09851","title":"An adaptive treatment recommendation and outcome prediction model for metastatic melanoma","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Melanoma; Cluster analysis; Cancer; Computer science; Observational study; Medicine; Cluster (spacecraft); Cohort; Skin cancer; Cancer registry; Oncology; Data mining; Artificial intelligence; Internal medicine; Cancer research","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":[0.001253004,0.0006960622,0.001098964,0.001098082,0.0004441061,0.0006626418,0.001501417,0.001325373,0.002527151],"category_scores_gemma":[0.002950106,0.0003406837,0.0007407746,0.0007690269,0.00017199,0.00042934,0.0003977989,0.001322803,0.0007228326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113794,"about_ca_system_score_gemma":0.001192228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05142781,"about_ca_topic_score_gemma":0.05239857,"domain_scores_codex":[0.9995759,0.00009406286,0.00003609819,0.0001662667,0.00006281865,0.00006486665],"domain_scores_gemma":[0.9986371,0.0007967122,0.0001096782,0.00005781828,0.0003162103,0.00008247745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001228641,0.001111357,0.05870411,0.0002096707,0.0003471939,0.0005764585,0.000167569,0.6233476,0.003117033,0.00188211,0.0194155,0.2898927],"study_design_scores_gemma":[0.00002325082,0.00003560147,0.001880033,0.000005960836,0.00002283055,0.00002839636,0.000008713962,0.9970217,0.000220027,0.0004701483,0.0002763987,0.000006913187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4973993,0.003064978,0.472085,0.006589497,0.0005180081,0.0006099631,0.00913935,0.004950878,0.005642957],"genre_scores_gemma":[0.9218714,0.0004045218,0.06881669,0.000526705,0.0002021421,0.0003100137,0.003971598,0.00004614482,0.003850824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05142781,"threshold_uncertainty_score":0.102257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592539073843691,"score_gpt":0.2542236419570483,"score_spread":0.09496973457267921,"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."}}