{"id":"W2042351201","doi":"10.1016/j.apradiso.2011.07.007","title":"A strategy for intensive production of molybdenum-99 isotopes for nuclear medicine using CANDU reactors","year":2011,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Isotope; Molybdenum; Nuclear engineering; Yield (engineering); Production (economics); Nuclear fuel; Radiochemistry; Nuclear reactor core; Environmental science; Nuclear physics; Chemistry; Materials science; Physics; Engineering; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002674803,0.0001143443,0.0002400264,0.00006022386,0.0001383033,0.00002723809,0.00007687269,0.00006156187,0.000239126],"category_scores_gemma":[0.00009343275,0.00008563454,0.00002509574,0.00004745576,0.0001356329,0.0001464167,0.00002002618,0.00002505864,0.000003772144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001564423,"about_ca_system_score_gemma":0.00002046634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004353969,"about_ca_topic_score_gemma":0.00001165389,"domain_scores_codex":[0.9992606,0.00001903841,0.000269267,0.0002271317,0.00007826236,0.0001457134],"domain_scores_gemma":[0.9994572,0.00002744905,0.0001910881,0.0001173628,0.0001642461,0.00004267749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004246128,0.00001890253,0.00001515073,0.0001156738,0.0000125049,8.71979e-8,0.003785792,0.000009545252,0.9787216,0.01141217,0.001291195,0.004192729],"study_design_scores_gemma":[0.001169767,0.0005973741,0.001139088,0.00007165057,0.00009325857,0.00000767202,0.005039476,0.0003115109,0.9613041,0.003627735,0.02637044,0.0002678777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974717,0.0001866991,0.0001984766,0.0001751306,0.0004559094,0.0008985371,0.00002445446,0.00003880705,0.0005503179],"genre_scores_gemma":[0.9978174,0.0001045504,0.001520886,0.000201669,0.00021798,0.00004471137,0.00001038715,0.00002513358,0.00005729148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02507924,"threshold_uncertainty_score":0.3492076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06571168649762991,"score_gpt":0.2629488490172104,"score_spread":0.1972371625195805,"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."}}