{"id":"W2374174231","doi":"","title":"Gastropoda(Mollusca) of Huaibei Region","year":2002,"lang":"ceb","type":"article","venue":"","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Gastropoda; Mollusca; Geography; Ecology; Distribution (mathematics); Biology; Zoology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001293948,0.0001836679,0.0001089806,0.0007965994,0.0005873688,0.0001876614,0.000123495,0.0001085309,0.0005474404],"category_scores_gemma":[0.000146182,0.0001161402,0.00009096152,0.0006268657,0.0001732195,0.0002809407,0.0002125345,0.00009317454,0.00004263031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005184792,"about_ca_system_score_gemma":0.0004409109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05229937,"about_ca_topic_score_gemma":0.1069673,"domain_scores_codex":[0.9999465,0.000004518082,0.000005340958,0.00001373029,0.00001265751,0.00001732887],"domain_scores_gemma":[0.9999073,0.000009308286,0.00002254829,0.000004667654,0.00003818942,0.00001805686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002026529,0.0000403637,0.8169167,0.0003616464,0.00008517659,0.001608506,0.006154536,0.0005345743,0.04419182,0.001094265,0.001132314,0.1276774],"study_design_scores_gemma":[0.000002692828,0.00004515123,0.990764,0.00002653608,0.00002707107,0.0003636955,0.001193476,0.0001946962,0.001098974,0.0001359475,0.006139578,0.000008145787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948108,0.001356306,0.0003122646,0.0000767823,0.000009341777,0.00001080713,0.0001603149,0.000008086877,0.003255179],"genre_scores_gemma":[0.9969029,0.000876329,0.000702782,0.00004492736,0.000007007063,0.00001037578,0.0002472679,0.000001335073,0.001207002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05229937,"threshold_uncertainty_score":0.1039899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238689451274784,"score_gpt":0.1702220575969302,"score_spread":0.1463531124694518,"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."}}