{"id":"W4404831452","doi":"10.5376/be.2024.14.0020","title":"Screening BVOCs in Cypress Cones to Improve Anxiety and Insomnia and Target Prediction","year":2024,"lang":"en","type":"article","venue":"Biological Evidence","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cypress; Anxiety; Insomnia; Psychology; Clinical psychology; Environmental science; Medicine; Psychiatry; Botany; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003602018,0.0001233392,0.0001495283,0.00006976047,0.00004637743,0.00005541641,0.0000904701,0.0002556727,0.0001198753],"category_scores_gemma":[0.0002343948,0.00008815546,0.00002245512,0.0002256661,0.0001085997,0.0001293507,0.0001050984,0.0002616889,0.00003431262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001252614,"about_ca_system_score_gemma":0.000006475421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001212963,"about_ca_topic_score_gemma":0.00000683944,"domain_scores_codex":[0.9988964,0.0001189323,0.000198308,0.0004972973,0.00006498905,0.0002240419],"domain_scores_gemma":[0.9993555,0.0003832195,0.00002099771,0.0001249888,0.00001512736,0.0001001953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003079278,0.00005017262,0.6955167,0.00002101142,0.00005397398,0.00007058863,0.00141547,0.00001930971,0.008322358,0.0032499,0.001634431,0.2893381],"study_design_scores_gemma":[0.0004626728,0.000711101,0.9892138,0.001244085,0.00002356421,0.00003328942,0.0003516524,0.000722788,0.0003793366,0.0004560632,0.006092266,0.0003094002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773231,0.01858912,0.001746277,0.000861637,0.0005418667,0.0003149959,0.00002467675,0.0001353994,0.0004629945],"genre_scores_gemma":[0.9976323,0.0008888003,0.0008758882,0.0003523301,0.0001185546,0.00006671785,0.000004332172,0.000006861607,0.00005418923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2936971,"threshold_uncertainty_score":0.3594875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05929674159564673,"score_gpt":0.3336725752193779,"score_spread":0.2743758336237312,"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."}}