{"id":"W2022527317","doi":"10.1016/j.biopsycho.2007.01.003","title":"Facial symmetry detection ability changes across the menstrual cycle","year":2007,"lang":"en","type":"article","venue":"Biological Psychology","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Menstrual cycle; Luteal phase; Symmetry (geometry); Psychology; Context (archaeology); Preference; Internal medicine; Hormone; Medicine; Biology; Mathematics; Geometry; Statistics","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":["insufficient_payload"],"category_scores_codex":[0.002167189,0.0003068601,0.0003358591,0.00008945668,0.0006428753,0.00001609982,0.0006061775,0.001030405,0.003499533],"category_scores_gemma":[0.0001032725,0.0002009845,0.0001746729,0.0003290968,0.001707015,0.00004328032,0.0001124331,0.0008348217,0.001621816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006113396,"about_ca_system_score_gemma":0.000006600925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003965335,"about_ca_topic_score_gemma":0.0002755733,"domain_scores_codex":[0.9967761,0.0005646356,0.0004918064,0.0009538286,0.000148764,0.001064834],"domain_scores_gemma":[0.9983319,0.0004470303,0.0001835356,0.00081208,0.00007324365,0.0001521914],"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":[0.003781021,0.002378693,0.3166422,0.000007066032,0.0002336508,0.0002055244,0.00341424,5.909297e-7,0.05446264,0.03316843,0.009716158,0.5759898],"study_design_scores_gemma":[0.0009474635,0.0008909641,0.9346239,0.000001621321,0.00001493269,0.000269368,0.0007234068,4.196206e-7,0.0001317751,0.005067142,0.05708554,0.0002434738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641705,0.00045329,0.001345831,0.002027692,0.00569041,0.0004305807,0.00005144415,0.0002696093,0.0255607],"genre_scores_gemma":[0.9939075,0.00001907619,0.00008937925,0.004100784,0.001060009,0.0001007825,0.00002322157,0.00001883069,0.0006803912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6179817,"threshold_uncertainty_score":0.9991555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08776832651643726,"score_gpt":0.4213041455029217,"score_spread":0.3335358189864844,"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."}}