{"id":"W6967832620","doi":"10.5281/zenodo.12816020","title":"Amara (Amara) ovata","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Linguistic, Cultural, and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; China; Archipelago; Southern china; Southeast asia","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":[0.0002407275,0.0008078507,0.0004650171,0.002072809,0.00205799,0.0005817475,0.0006826281,0.0005824282,0.01460433],"category_scores_gemma":[0.0005133616,0.0002235485,0.0002845763,0.0007381274,0.0008888105,0.00100793,0.001273905,0.0006441158,0.003735095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004132785,"about_ca_system_score_gemma":0.0002037026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214478,"about_ca_topic_score_gemma":0.006938319,"domain_scores_codex":[0.9997639,0.00003947524,0.00001771757,0.00008188052,0.00005599508,0.00004101606],"domain_scores_gemma":[0.9998468,0.00003356446,0.00005754864,0.00001471293,0.00003251892,0.00001474698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007094403,0.0002048382,0.02490145,0.001707796,0.0001364421,0.002811591,0.006049325,0.0006365805,0.03531481,0.02683118,0.02748441,0.8732123],"study_design_scores_gemma":[0.0000642704,0.0003199704,0.1623804,0.000784573,0.000138747,0.005647006,0.001687297,0.0003244552,0.001810883,0.004801088,0.8220029,0.00003838112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3535555,0.02742455,0.005953779,0.0008878866,0.001986864,0.0005422145,0.003257283,0.0006614571,0.6057304],"genre_scores_gemma":[0.9432722,0.005285779,0.00692408,0.0004760006,0.0007841997,0.0003568028,0.00192946,0.0001683795,0.04080315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01460433,"threshold_uncertainty_score":0.04885638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0527396249472061,"score_gpt":0.2841457627778417,"score_spread":0.2314061378306356,"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."}}