{"id":"W6931344415","doi":"10.5281/zenodo.5508997","title":"Cothurnia sinuosa","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epibiont; Algae; Variety (cybernetics); Abundance (ecology); Biodiversity","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":[0.00008338966,0.0004063697,0.0001586268,0.001111549,0.001149553,0.0002619599,0.0002336223,0.0001805728,0.009556998],"category_scores_gemma":[0.0002064095,0.0001254691,0.00009987077,0.000857754,0.0004084833,0.0003154874,0.0006185701,0.0002238765,0.0007475346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004282087,"about_ca_system_score_gemma":0.000384955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03213681,"about_ca_topic_score_gemma":0.1113414,"domain_scores_codex":[0.9999409,0.000004352002,0.000004961453,0.0000245212,0.00001343562,0.00001181993],"domain_scores_gemma":[0.9998875,0.00001213996,0.00003886266,0.0000101589,0.00002532425,0.0000261231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008228535,0.000210862,0.433856,0.001037747,0.0001044641,0.003421899,0.005814231,0.0006439788,0.1097668,0.002667377,0.008421383,0.4332323],"study_design_scores_gemma":[0.00002537527,0.0002131633,0.9537894,0.0001310741,0.00003803519,0.001456712,0.002573065,0.0001928179,0.002063248,0.0003079183,0.03918721,0.00002195523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501843,0.001458414,0.0003879378,0.0000972962,0.00008672688,0.00008597675,0.001118651,0.00004961382,0.04653107],"genre_scores_gemma":[0.9918848,0.0005560924,0.0004619683,0.0001083566,0.00002134219,0.00003377589,0.0006745047,0.000005104516,0.00625411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03213681,"threshold_uncertainty_score":0.06389946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06489876576395971,"score_gpt":0.2917137267160132,"score_spread":0.2268149609520535,"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."}}