{"id":"W22198649","doi":"10.1007/s10072-011-0906-8","title":"中–後期更新世における古カトマンズ湖珪藻の古群集生態:―浮遊性・底生群集の生産性・種多様性変遷―","year":2012,"lang":"en","type":"article","venue":"地学雑誌","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0006305011,0.0002002094,0.0002115503,0.0006074544,0.0003500781,0.0005144483,0.000173249,0.0002397511,0.002897668],"category_scores_gemma":[0.002366964,0.0001078342,0.0001757183,0.0003585799,0.0005136374,0.0004515273,0.0002047143,0.000226811,0.0005565884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592868,"about_ca_system_score_gemma":0.0002980139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799562,"about_ca_topic_score_gemma":0.005254525,"domain_scores_codex":[0.9997397,0.00005211033,0.00003634569,0.00005307915,0.00009000526,0.00002879024],"domain_scores_gemma":[0.99918,0.0002523121,0.000275955,0.00004218409,0.0001558199,0.00009373383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006403237,0.0003656124,0.7459466,0.0002014622,0.0001223823,0.0006682273,0.0004167222,0.0001932194,0.009854723,0.0001851899,0.0006677189,0.2407378],"study_design_scores_gemma":[0.00002428916,0.00142973,0.9854943,0.00005322501,0.00007542639,0.004731878,0.000283254,0.0003047416,0.004383586,0.0003029234,0.002897455,0.00001928793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942961,0.00225901,0.0004404046,0.0001186532,0.00001566391,0.00002230484,0.00007279476,0.00001087291,0.002764109],"genre_scores_gemma":[0.9967707,0.0008732889,0.001345869,0.00006016804,0.00003750151,0.00001205797,0.0001357792,0.000002405214,0.0007622742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002897668,"threshold_uncertainty_score":0.009693682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725781397899438,"score_gpt":0.4026960401296167,"score_spread":0.3554382261506224,"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."}}