{"id":"W7146386835","doi":"","title":"高レベル廃棄物処分場のサイト選定における地球化学的観点でのサイト選定基準に関して(欧州および北米における事例調査)","year":2000,"lang":"en","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Site selection; Radioactive waste; Radionuclide; Selection (genetic algorithm); Host (biology)","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":[0.006460802,0.000302777,0.0004231085,0.004331144,0.001342173,0.004043873,0.0007972749,0.0004513267,0.01345269],"category_scores_gemma":[0.007427975,0.0002098033,0.0003793158,0.006078507,0.001136191,0.003407604,0.001307604,0.0004423848,0.006192963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091775,"about_ca_system_score_gemma":0.001925045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120723,"about_ca_topic_score_gemma":0.005297247,"domain_scores_codex":[0.9969403,0.0008754422,0.0003453713,0.0002908271,0.001320984,0.0002271234],"domain_scores_gemma":[0.9884275,0.004568792,0.001947517,0.001770313,0.002718206,0.0005677643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006234067,0.0003192635,0.1808797,0.001603021,0.00008492362,0.001527779,0.002432214,0.003595841,0.0277963,0.04502726,0.02771908,0.7083911],"study_design_scores_gemma":[0.00009537436,0.001039158,0.2634828,0.0008790244,0.0002777968,0.007686572,0.01541065,0.006824202,0.1199648,0.03270604,0.5512985,0.0003349916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5517783,0.006612068,0.1096554,0.002830784,0.0004280879,0.0007485331,0.01406557,0.002860819,0.3110205],"genre_scores_gemma":[0.8495145,0.00393121,0.1027468,0.000290788,0.0001585454,0.0002575076,0.01108981,0.0003566051,0.0316541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01345269,"threshold_uncertainty_score":0.04500371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053837094739533,"score_gpt":0.3223606964760511,"score_spread":0.2718223255286558,"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."}}