{"id":"W2181348492","doi":"","title":"Mating Success in Low-Density Gypsy Moth Populations","year":2003,"lang":"en","type":"dissertation","venue":"VTechWorks (Virginia Tech)","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gypsy moth; Mating disruption; Lymantria dispar; Mating; Biology; Sex pheromone; Population; Ecology; Pheromone; Insect; Zoology; Pheromone trap; Reproductive success; Lepidoptera genitalia; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004802242,0.0004053987,0.0005114349,0.0001041381,0.0003728582,0.0002075754,0.0005772024,0.000748475,0.001104838],"category_scores_gemma":[0.0002067417,0.0001973947,0.0002133084,0.001119752,0.00003776562,0.0001916147,0.00004788405,0.001091131,0.0001321474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129759,"about_ca_system_score_gemma":0.00004460852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980619,"about_ca_topic_score_gemma":0.02329361,"domain_scores_codex":[0.9973293,0.0001873014,0.0005520249,0.000621791,0.0005514813,0.0007581101],"domain_scores_gemma":[0.9991063,0.0001489567,0.0002628479,0.0001821137,0.0001391668,0.0001605624],"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":[0.0008030001,0.001515407,0.04054929,0.0005018011,0.0001653458,0.0003648332,0.0006908553,0.0001678239,0.3300974,0.00847794,0.006286235,0.6103801],"study_design_scores_gemma":[0.002280393,0.0008710398,0.9086612,0.003321406,0.0001587485,0.00005168485,0.003894347,0.002470996,0.04612088,0.02210761,0.005556251,0.004505403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984563,0.0004687812,0.00001146703,0.0002728017,0.0003850294,0.0007119667,0.00004932918,0.0002032762,0.01333438],"genre_scores_gemma":[0.9908671,0.0001064037,0.0001638656,0.00009159303,0.0002258075,0.0001349835,0.001202862,0.000008183334,0.007199158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.868112,"threshold_uncertainty_score":0.9998083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475594154554265,"score_gpt":0.2586863751222903,"score_spread":0.2439304335767476,"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."}}