{"id":"W6887642184","doi":"10.17605/osf.io/4gsu9","title":"Face Puzzle Study 3 Preregistration","year":2022,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facial expression; Neurotypical; Emotion classification; Boredom; Everyday life; Set (abstract data type); Affective science; Facial Action Coding System; Stimulus (psychology); Jealousy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005567648,0.001261555,0.001566666,0.001110783,0.002305238,0.002666133,0.002419859,0.003042895,0.08748886],"category_scores_gemma":[0.01448775,0.0006051643,0.001278181,0.000607689,0.0009090322,0.001995967,0.002557513,0.002305127,0.03629132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364429,"about_ca_system_score_gemma":0.002434932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004495387,"about_ca_topic_score_gemma":0.0051384,"domain_scores_codex":[0.9964615,0.0006239086,0.0004386705,0.001093776,0.001059832,0.0003223237],"domain_scores_gemma":[0.9931251,0.001322905,0.000402206,0.002506783,0.00203203,0.0006110118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04635716,0.02974038,0.08120858,0.003123756,0.0005281038,0.014669,0.02810886,0.001429498,0.04056008,0.02510277,0.2327615,0.4964103],"study_design_scores_gemma":[0.00573095,0.01815492,0.2317929,0.0009567445,0.0005620582,0.01080231,0.01057611,0.002454313,0.01689455,0.02133977,0.680333,0.0004024541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.7278788,0.002529091,0.02518764,0.0037644,0.004011368,0.03475282,0.03132109,0.001518531,0.1690363],"genre_scores_gemma":[0.6779132,0.0009874143,0.0245459,0.007258354,0.001371055,0.08354525,0.02523324,0.001713338,0.1774322],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.08748886,"threshold_uncertainty_score":0.2926794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09841999524480921,"score_gpt":0.3959486644216435,"score_spread":0.2975286691768343,"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."}}