{"id":"W386175853","doi":"","title":"五木村大滝のヒメムカゴシダ群落 (BOTANY 50号 記念号)","year":2000,"lang":"ja","type":"article","venue":"Botany","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Botany; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001929196,0.0005005494,0.0004856492,0.0001092448,0.0002249224,0.00006473569,0.0005479077,0.0006823519,0.0168362],"category_scores_gemma":[0.00003012512,0.0005463464,0.0002051761,0.0004221462,0.0002348443,0.0002994519,0.00004512015,0.0007806488,0.006131688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009827731,"about_ca_system_score_gemma":0.00004603853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008521985,"about_ca_topic_score_gemma":0.0001175355,"domain_scores_codex":[0.9978012,0.00005378469,0.0005212235,0.0005195343,0.0002422485,0.0008619805],"domain_scores_gemma":[0.998768,0.00007342172,0.00003590138,0.0009191632,0.00003470659,0.0001688399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005403066,0.001257352,0.003982606,0.00107568,0.002576264,0.002582334,0.007225749,0.008870876,0.06613774,0.2531841,0.1678427,0.4847243],"study_design_scores_gemma":[0.003585221,0.0009071323,0.09871779,0.0007240774,0.0005029256,0.0005325992,0.002813787,0.03119076,0.001850541,0.05597559,0.7990119,0.004187703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5955234,0.02316606,0.00008386997,0.0004959627,0.0006292089,0.0002300927,0.00006120567,0.001043458,0.3787668],"genre_scores_gemma":[0.9755766,0.004671663,0.0009106238,0.0001467676,0.0003245429,0.00002510545,0.000002583046,0.00007900631,0.01826305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6311692,"threshold_uncertainty_score":0.9996988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008680625186839546,"score_gpt":0.2067745275174367,"score_spread":0.1980939023305971,"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."}}