{"id":"W2375682311","doi":"","title":"STUDIES ON DISTRIBUTION OF CHARACEAE IN CHINA","year":2007,"lang":"en","type":"article","venue":"Acta Hydrobiologica Sinica","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Distribution (mathematics); China; Geography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005425067,0.0001184879,0.0002651815,0.000002381748,0.0001243437,0.000005036487,0.0002112252,0.0001035125,0.00005031978],"category_scores_gemma":[0.0002836316,0.00003966269,0.00008667132,0.0003503567,0.0001538537,0.00002642554,0.000104453,0.0001345869,0.00001707716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003567101,"about_ca_system_score_gemma":0.000001138239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005241233,"about_ca_topic_score_gemma":0.000427301,"domain_scores_codex":[0.9989615,0.00004058077,0.000399318,0.0002670785,0.00007772413,0.0002537653],"domain_scores_gemma":[0.9990195,0.0006733687,0.0001570683,0.00007253647,0.00003360543,0.00004393347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004984561,0.002225063,0.04015164,0.0000184017,0.0001276603,0.00001048345,0.0002602744,0.0000256898,0.7531346,0.01047901,0.002375205,0.1906935],"study_design_scores_gemma":[0.0001275815,0.0005527097,0.9655141,0.00002728733,0.000005951268,0.000001183449,0.0002262782,0.000007558157,0.00503476,0.0005954282,0.02776891,0.0001382693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953389,0.0002042022,0.000001133573,0.003302572,0.00005949042,0.0001854636,0.00005850914,0.00003443139,0.0008152938],"genre_scores_gemma":[0.9993007,0.0003251288,0.00001828975,0.0001707588,0.00007652045,0.00001323899,0.00006888042,4.522493e-7,0.00002600377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9253625,"threshold_uncertainty_score":0.1617398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630230899832323,"score_gpt":0.2839457357851884,"score_spread":0.2476434267868652,"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."}}