{"id":"W1992777504","doi":"10.1016/j.apradiso.2004.02.010","title":"Use of isotopic gamma sources for identifying anti-personnel landmines","year":2004,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"University of Cape Town; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Collimated light; Explosive material; Monte Carlo method; Detector; Gamma ray; Radioactive source; Photon; Compton scattering; Environmental science; Materials science; Optics; Physics; Nuclear physics; Archaeology; Laser","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":[0.00003217494,0.00008065498,0.000124805,0.00003570164,0.000132973,0.00005985726,0.00005013967,0.00001974754,0.00002017801],"category_scores_gemma":[0.000001587138,0.00007502464,0.00004521713,0.00007380253,0.00003298873,0.0001032113,0.00001150434,0.00003247636,0.000004968413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000042291,"about_ca_system_score_gemma":0.00001246301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106682,"about_ca_topic_score_gemma":0.000001682905,"domain_scores_codex":[0.9995655,0.000003189083,0.0001354592,0.0001423788,0.00005234651,0.0001010999],"domain_scores_gemma":[0.9997153,0.00003642835,0.00008985085,0.00009923063,0.00002474211,0.00003448551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001062951,0.0001368918,0.008390225,0.00004273518,0.0000714437,4.448364e-8,0.001686545,0.0004347827,0.06094564,0.86363,0.0002653256,0.06438572],"study_design_scores_gemma":[0.008031432,0.000169307,0.2088823,0.0001184157,0.0003082337,0.00000159225,0.007571462,0.00242029,0.3830566,0.1918514,0.1961412,0.001447866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814426,0.00004045483,0.01679854,0.0001774424,0.00003059306,0.0003637372,0.00004282883,0.00001827337,0.001085512],"genre_scores_gemma":[0.9977428,0.00001357948,0.00181937,0.00004909097,0.0001791199,0.00007751134,0.00003956252,0.000009988694,0.00006892154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6717786,"threshold_uncertainty_score":0.3059416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730242317008492,"score_gpt":0.2567924116605735,"score_spread":0.2294899884904886,"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."}}