{"id":"W7144390026","doi":"10.14988/00027415","title":"河川と河畔でホッチャレ研究はどこに向かうのか : サケ遺骸に関する研究事例とその周辺","year":2014,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pacific ocean; Riparian zone; Oncorhynchus; Indian ocean; Pacific Rim","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":[0.005012284,0.0003795998,0.0005130622,0.009352395,0.001349823,0.00534261,0.001255401,0.0005900554,0.02527429],"category_scores_gemma":[0.01319325,0.0003426885,0.0003389166,0.01312093,0.001256967,0.005195504,0.001828529,0.0009118689,0.01621047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065827,"about_ca_system_score_gemma":0.004935294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02779756,"about_ca_topic_score_gemma":0.03256442,"domain_scores_codex":[0.9974298,0.0003612142,0.0005465841,0.0004330381,0.001033028,0.0001963184],"domain_scores_gemma":[0.9877856,0.003550614,0.002161535,0.001587345,0.004190424,0.000724631],"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":[0.0004094894,0.000141294,0.1450954,0.002296226,0.0001094748,0.0004458955,0.001867992,0.000654679,0.002615946,0.02535018,0.3520199,0.4689935],"study_design_scores_gemma":[0.00005121114,0.00009570995,0.1564081,0.0009665381,0.0001364204,0.0009457064,0.003399631,0.001330673,0.006502032,0.009603609,0.8204468,0.0001135144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09447496,0.01099946,0.04579009,0.01444851,0.001475805,0.001050272,0.6048424,0.004766656,0.2221519],"genre_scores_gemma":[0.307994,0.01614523,0.0849198,0.004099963,0.0009880633,0.001406922,0.5079762,0.001211947,0.07525785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02779756,"threshold_uncertainty_score":0.08455098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039733260808656,"score_gpt":0.2246989564346944,"score_spread":0.2143016238266078,"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."}}