{"id":"W7051568731","doi":"","title":"Optical and Functional Imaging in Lung Cancer","year":2010,"lang":"en","type":"dissertation","venue":"RePub (Erasmus University Rotterdam)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Cancer; Stage (stratigraphy); Lung; Colorectal cancer; Carcinoma; Adenocarcinoma; Incidence (geometry)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000696723,0.0001707534,0.0001698361,0.0001568689,0.0001414217,0.00004196952,0.00008843857,0.00008262535,0.0008450017],"category_scores_gemma":[0.000001649726,0.0001991402,0.00004931662,0.0001380554,0.00002791429,0.0002209155,0.00003626636,0.0004308643,0.000009977633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006751055,"about_ca_system_score_gemma":0.0001403259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004597626,"about_ca_topic_score_gemma":0.0003241353,"domain_scores_codex":[0.9991968,0.00001493765,0.0001218916,0.0002974509,0.0001363097,0.0002326348],"domain_scores_gemma":[0.9996556,0.00002285937,0.00007402647,0.0001205172,0.00004864046,0.00007833716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002214466,0.0000617263,0.9522775,0.00007442635,0.00009311681,0.00002802917,0.001067696,0.00003546465,0.00805382,0.0008888204,0.001025549,0.03617241],"study_design_scores_gemma":[0.001611868,0.000007477184,0.9778125,0.0001658768,0.00009135405,0.000001732208,0.0007701036,0.003582608,0.004576496,0.0001009893,0.01071542,0.0005635638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870899,0.00006313073,0.00004726046,0.00008394427,0.0004720469,0.0001403459,0.00002033468,0.00002007559,0.01206294],"genre_scores_gemma":[0.9922788,0.00002226614,0.00008330144,0.00001638788,0.0001858125,0.000004278055,0.000238236,0.00001351632,0.007157477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03560885,"threshold_uncertainty_score":0.9252176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005276166161246073,"score_gpt":0.2198803092012571,"score_spread":0.214604143040011,"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."}}