{"id":"W7039348524","doi":"","title":"“Let’s Fall in Love…after I Vet You”: Romance and Vetting","year":2021,"lang":"en","type":"article","venue":"ScholarWorks - MoreheadState (Morehead State University)","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vetting; Romance; Quarter (Canadian coin); State (computer science); Mistake; Focus (optics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003555773,0.0003061082,0.0003514171,0.0001220192,0.0002099796,0.0002951078,0.0002990925,0.0001450431,0.0003289135],"category_scores_gemma":[0.00006726934,0.0001851056,0.0001211448,0.001295734,0.0001851563,0.0009731089,0.0003711105,0.0007719445,0.0001019254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001410027,"about_ca_system_score_gemma":0.00006690792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004708125,"about_ca_topic_score_gemma":0.007374508,"domain_scores_codex":[0.9973249,0.0003182638,0.0002899275,0.0008117147,0.0003510233,0.0009041535],"domain_scores_gemma":[0.9989933,0.0001850577,0.0000953147,0.000141017,0.000173834,0.0004115124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007719375,0.0003825492,0.7254833,0.00008115067,0.00008016741,0.007850789,0.001141462,0.00007777871,0.01057143,0.0003562053,0.0003325864,0.2528706],"study_design_scores_gemma":[0.001348288,0.0002664912,0.7830071,0.0002019179,0.00001933864,0.00004669295,0.003558928,0.0002535018,0.0007850392,0.0004106412,0.2094012,0.0007008623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913617,0.0008313772,0.00003199376,0.002300459,0.00009656019,0.0002721296,0.0001112589,0.00006389207,0.004930586],"genre_scores_gemma":[0.9934146,0.0007780439,0.0004786029,0.0002352853,0.00008262756,0.000002826468,0.00008307715,0.000004417985,0.004920485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2521698,"threshold_uncertainty_score":0.7548388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109594874721871,"score_gpt":0.1872493932553229,"score_spread":0.1761534445081042,"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."}}