{"id":"W6949369247","doi":"10.5281/zenodo.12715824","title":"Apanteles (Apanteles) carpatus","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Entomological Studies and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apanteles; Distribution (mathematics); Telegraphy; Term (time)","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":[0.0002566215,0.0007679796,0.000266247,0.001951976,0.001135774,0.0003468412,0.0005460966,0.0005292058,0.0135215],"category_scores_gemma":[0.0004696382,0.0001915288,0.0001790462,0.0009161858,0.0006135742,0.000820855,0.0006625992,0.0003623767,0.00747135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332403,"about_ca_system_score_gemma":0.0001320893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003376433,"about_ca_topic_score_gemma":0.006078547,"domain_scores_codex":[0.9997929,0.00002121754,0.0000249643,0.0000874594,0.00005417127,0.00001936409],"domain_scores_gemma":[0.9996897,0.00004076345,0.0001298025,0.00003978121,0.00007076357,0.00002926191],"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":[0.002754315,0.0003526155,0.1173464,0.001237193,0.0001747785,0.003905949,0.003038289,0.002027148,0.09069786,0.004219471,0.02113948,0.7531065],"study_design_scores_gemma":[0.0001755528,0.0009509975,0.8030792,0.0004936282,0.0002294334,0.01407439,0.002339042,0.001154552,0.00646493,0.002202954,0.168721,0.0001143721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708709,0.005830909,0.00481548,0.0003525642,0.0002649202,0.0002281252,0.002678209,0.0009393529,0.2140196],"genre_scores_gemma":[0.968821,0.001582595,0.003690177,0.0002100401,0.0001059473,0.0001560373,0.001735513,0.00002911214,0.02366944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0135215,"threshold_uncertainty_score":0.04523391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0832701064866397,"score_gpt":0.2353803358610151,"score_spread":0.1521102293743753,"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."}}