{"id":"W2810589080","doi":"10.1007/s00484-018-1546-y","title":"Modern pollen distribution in the northeastern Indian Ocean and its significance","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Pollen; Distribution (mathematics); Geography; Indian ocean; Oceanography; Physical geography; Ecology; Biology; Geology; 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":[0.0008188765,0.00006225456,0.0001170184,0.0002362059,0.00006555147,0.00002176545,0.0004573906,0.00008752521,0.0002378652],"category_scores_gemma":[0.0000984274,0.00004039235,0.00002909167,0.0001472503,0.0002864604,0.0001248529,0.00001520742,0.0002152006,0.00005013981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001997107,"about_ca_system_score_gemma":0.00004934872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000698146,"about_ca_topic_score_gemma":0.001790266,"domain_scores_codex":[0.999023,0.0002445024,0.0002373836,0.0001007384,0.000214794,0.0001795403],"domain_scores_gemma":[0.9993144,0.0002647435,0.0001360802,0.00005366192,0.0001828923,0.00004819579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002276756,0.00001651715,0.9938527,0.000001663715,0.00003428895,0.0001681317,0.0005649549,0.00001940241,0.00002604396,0.0001133826,0.00004338761,0.004931807],"study_design_scores_gemma":[0.0004511161,0.0004508277,0.9906834,0.000006664688,0.000005567696,0.001851984,0.0001436845,0.002003568,0.00005962237,0.003629992,0.0006656378,0.00004794521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920585,0.0005261612,0.00008175994,0.006411093,0.0004607962,0.00005136384,0.00004522158,0.000002048058,0.0003630229],"genre_scores_gemma":[0.9991744,0.00009721233,0.00002888853,0.0004313078,0.0002219952,1.952829e-7,0.0000283337,9.63277e-7,0.0000166958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007115874,"threshold_uncertainty_score":0.2604457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757001911330577,"score_gpt":0.269960315310217,"score_spread":0.2523902961969112,"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."}}