{"id":"W6950176635","doi":"10.5281/zenodo.5887864","title":"Photinus consimilis Green 1956","year":2022,"lang":"it","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Green tea; Ectotherm; Natural (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":[0.00007204964,0.000455887,0.0001466912,0.00135461,0.001384046,0.0002540767,0.0002584121,0.0002021007,0.007163836],"category_scores_gemma":[0.0001183318,0.00009563344,0.00006406807,0.001001922,0.0002811111,0.0002651595,0.000488203,0.0002455677,0.003037275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002847202,"about_ca_system_score_gemma":0.001297355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3427546,"about_ca_topic_score_gemma":0.664414,"domain_scores_codex":[0.9999022,0.00000462234,0.000004282883,0.00002465828,0.00003945962,0.00002475295],"domain_scores_gemma":[0.9998595,0.000008781531,0.00004017202,0.000005229882,0.00005024703,0.00003604993],"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":[0.002025746,0.0001926813,0.1599303,0.0006317597,0.00007753266,0.003968777,0.00269925,0.0005659966,0.2274181,0.00760786,0.08040573,0.5144762],"study_design_scores_gemma":[0.00003561161,0.0002201311,0.4869533,0.0001244252,0.00005532023,0.001296042,0.001747514,0.0001950689,0.0125956,0.0005878938,0.4961547,0.00003426634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6817222,0.008089969,0.002048186,0.0012921,0.0005741658,0.0001962314,0.01038896,0.0005252666,0.295163],"genre_scores_gemma":[0.809546,0.004648252,0.002951169,0.0005729652,0.00007700072,0.00008877184,0.005723386,0.000100975,0.1762914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3427546,"threshold_uncertainty_score":0.6815191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744358784150538,"score_gpt":0.2774867943426776,"score_spread":0.2600432065011722,"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."}}