{"id":"W2012886517","doi":"10.14411/eje.2000.078","title":"Oviposition strategy of the green lacewing Chrysoperla rufilabris (Neuroptera: Chrysopidae) in response to extraguild prey availability","year":2000,"lang":"en","type":"article","venue":"European Journal of Entomology","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Chrysopidae; Neuroptera; Hatching; Fecundity; Predation; Chrysoperla carnea; Zoology; Avian clutch size; Ecology; Reproduction; Population; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001269354,0.0001109981,0.0002071367,0.00003996835,0.00007698951,0.00002773065,0.0004000953,0.00003170901,0.001663461],"category_scores_gemma":[0.00009960939,0.00004282164,0.0001331924,0.0002590627,0.00004776215,0.000117971,0.00004015015,0.0002725257,0.0000566007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000353002,"about_ca_system_score_gemma":0.00001798367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001609303,"about_ca_topic_score_gemma":0.0002135712,"domain_scores_codex":[0.9970644,0.001859412,0.000559169,0.0001565178,0.0001584266,0.0002020546],"domain_scores_gemma":[0.9993051,0.000222407,0.0002009734,0.00009019749,0.0001079671,0.00007338677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003192211,0.0002628428,0.01170633,0.000005597333,0.00002588812,0.0002662131,0.0004704839,0.0003480955,0.8664038,0.00002164121,0.0004477495,0.1168492],"study_design_scores_gemma":[0.0004278542,0.001540598,0.9788903,0.00007461853,0.00001518792,0.0005705364,0.00008949497,0.00002698638,0.003108349,0.00003316838,0.01511824,0.0001046897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924529,0.0000762432,0.000002662771,0.001953763,0.0001637952,0.0001274689,0.00001625795,0.000006353074,0.00520061],"genre_scores_gemma":[0.9980032,0.00001658601,0.00002008794,0.0003728007,0.0001847269,0.000001108168,0.000001257063,0.000001732557,0.001398523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9671839,"threshold_uncertainty_score":0.9992492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488611933860481,"score_gpt":0.222934202979448,"score_spread":0.2080480836408432,"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."}}