{"id":"W6931558935","doi":"10.5281/zenodo.6952243","title":"Endromopoda producta","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Climate change; Event (particle physics); Context (archaeology)","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":[0.0001057989,0.0009595462,0.0003477784,0.001560155,0.00118743,0.0005184633,0.0006009755,0.0004504308,0.03085978],"category_scores_gemma":[0.0003646259,0.0002390925,0.0002358597,0.0008332116,0.000395631,0.000948704,0.0006293565,0.0005675212,0.008823865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066816,"about_ca_system_score_gemma":0.0001956663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002569577,"about_ca_topic_score_gemma":0.005716855,"domain_scores_codex":[0.9998373,0.00001486154,0.0000154542,0.00005777933,0.00004826484,0.00002625295],"domain_scores_gemma":[0.9998218,0.0000273778,0.00006669369,0.0000300383,0.00003875452,0.00001529658],"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":[0.0007404959,0.0002145763,0.03816262,0.001296169,0.00006360091,0.001907375,0.001299545,0.0006983099,0.04189097,0.01188418,0.03744615,0.864396],"study_design_scores_gemma":[0.0001001392,0.0005201286,0.2838981,0.0008127707,0.00009938053,0.005859168,0.0008603429,0.000628397,0.004100189,0.001902346,0.7011834,0.00003555451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3313153,0.0134171,0.007918985,0.0003913702,0.0003817469,0.0005798279,0.009621451,0.000564403,0.6358097],"genre_scores_gemma":[0.7945295,0.007989051,0.01172382,0.0004397298,0.0004191816,0.0004796421,0.01123186,0.000136955,0.1730502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03085978,"threshold_uncertainty_score":0.1032362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04029110294242794,"score_gpt":0.2679159773471418,"score_spread":0.2276248744047139,"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."}}