{"id":"W6931539068","doi":"10.5281/zenodo.7931437","title":"Forward Ariane trajectories for SOI drift bottles","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Forcing (mathematics); Software deployment; Particle (ecology); Trajectory","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":[0.0007162655,0.0009845035,0.0007222095,0.0007751982,0.0008682123,0.0009146394,0.001007515,0.001476413,0.02054887],"category_scores_gemma":[0.002939057,0.000618363,0.001629792,0.001376295,0.0002234803,0.00131777,0.0006500494,0.001988391,0.005400757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008582089,"about_ca_system_score_gemma":0.001225272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05347036,"about_ca_topic_score_gemma":0.06511217,"domain_scores_codex":[0.9997429,0.00004640721,0.000013923,0.00008160642,0.00006999593,0.00004521199],"domain_scores_gemma":[0.9992275,0.0002615441,0.0000561829,0.0001414009,0.0002383734,0.00007496167],"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":[0.0006621336,0.000198616,0.01871196,0.0005603064,0.0003697802,0.0003147366,0.0003032662,0.6857707,0.004523469,0.010429,0.2583242,0.01983185],"study_design_scores_gemma":[0.0005640115,0.0001137659,0.02322526,0.0002546271,0.0001192671,0.0001389228,0.0002891733,0.8451163,0.005296261,0.00871283,0.1158707,0.0002988797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2476745,0.0006439231,0.04570356,0.002355378,0.002517483,0.0002629309,0.5891004,0.01647274,0.09526905],"genre_scores_gemma":[0.5957536,0.0004808824,0.05856107,0.0004341229,0.0003452838,0.0004667036,0.3166348,0.007047119,0.02027637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05347036,"threshold_uncertainty_score":0.1063183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879418301240073,"score_gpt":0.2869784908909025,"score_spread":0.2481843078785018,"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."}}