{"id":"W6968608774","doi":"10.5281/zenodo.6522452","title":"Archaeochrysa cockerelli Makarkin & Antell & Archibald 2022, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Royal British Columbia Museum","funders":"","keywords":"Holotype; Type locality; Genus; Basal (medicine); Thorax (insect anatomy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003660167,0.0009534467,0.0005054515,0.002114505,0.001463052,0.001099757,0.0008930129,0.001290392,0.008660137],"category_scores_gemma":[0.0006585986,0.0004235127,0.0003279396,0.001916645,0.0006420669,0.001006766,0.0008400248,0.0009992098,0.008555426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008988412,"about_ca_system_score_gemma":0.0009494925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02909,"about_ca_topic_score_gemma":0.05736026,"domain_scores_codex":[0.9997074,0.00001664535,0.00003034023,0.0001267236,0.00006521997,0.00005361365],"domain_scores_gemma":[0.9995782,0.00005870441,0.0001347131,0.00009963763,0.00008101702,0.00004771214],"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":[0.001776887,0.0003052008,0.1016298,0.003247357,0.0002292686,0.00660607,0.002886533,0.001282694,0.06292258,0.001717674,0.05219094,0.765205],"study_design_scores_gemma":[0.0001826872,0.000270994,0.511678,0.002830305,0.0004475933,0.01815967,0.00302818,0.0008050922,0.007580169,0.0006294493,0.4542829,0.0001048735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4962058,0.07410094,0.01981697,0.002572733,0.003866674,0.002694367,0.04781117,0.002661157,0.3502701],"genre_scores_gemma":[0.8180758,0.02727992,0.0399488,0.00346795,0.0006179586,0.001064797,0.03288019,0.0003503073,0.07631429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02909,"threshold_uncertainty_score":0.0578413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202483583751193,"score_gpt":0.2171764780513254,"score_spread":0.1851516422138135,"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."}}