{"id":"W7145739243","doi":"","title":"かごしまクリーンアップキャンペーンの6年間の取り組み","year":2005,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine debris; Debris; Event (particle physics); Coastal zone","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":[0.002415496,0.0003102349,0.000432058,0.005075758,0.00106451,0.00315845,0.000762526,0.0003313873,0.05167672],"category_scores_gemma":[0.007888632,0.0002643994,0.0002903175,0.005494301,0.0004876495,0.001527938,0.001515702,0.0006064435,0.04046578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480398,"about_ca_system_score_gemma":0.003931852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988899,"about_ca_topic_score_gemma":0.02321244,"domain_scores_codex":[0.9978136,0.0001571725,0.0002532224,0.0002593492,0.001316415,0.0002001679],"domain_scores_gemma":[0.9929098,0.0008418992,0.0008177378,0.00100592,0.003924011,0.0005005796],"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":[0.000645562,0.000188088,0.07568793,0.0005251513,0.00005021426,0.0002341414,0.0005036284,0.000470115,0.002624923,0.006946179,0.3879121,0.5242119],"study_design_scores_gemma":[0.00002910798,0.0001199322,0.06879638,0.0001036693,0.00003582293,0.0002575041,0.0006817543,0.0005631631,0.007263188,0.001577055,0.9205326,0.0000396865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1102717,0.004474133,0.02057821,0.004868866,0.001244372,0.001084827,0.6085103,0.005615307,0.2433523],"genre_scores_gemma":[0.09918691,0.003071462,0.0224306,0.0006788461,0.0001884862,0.0006042494,0.7002102,0.0004067526,0.1732225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05167672,"threshold_uncertainty_score":0.1728759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144867952021208,"score_gpt":0.2261738767754998,"score_spread":0.2147251972552877,"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."}}