{"id":"W3207783335","doi":"10.31234/osf.io/kd29q","title":"Memoir Dataset: Quantifying Image Memorability in Adolescents","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canada First Research Excellence Fund","keywords":"Psychology; Set (abstract data type); Image (mathematics); Property (philosophy); Stimulus (psychology); Memoir; Cognitive psychology; Computer science; Artificial intelligence; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006637037,0.0008279967,0.0005121214,0.002872131,0.0002492399,0.0006940644,0.0008382286,0.0008714985,0.003314804],"category_scores_gemma":[0.0031855,0.0001653878,0.000716216,0.0009843333,0.0001936004,0.0007821345,0.0009003982,0.0004813925,0.002071053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401827,"about_ca_system_score_gemma":0.0002280903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006798298,"about_ca_topic_score_gemma":0.01364926,"domain_scores_codex":[0.9995981,0.00005367553,0.00005116838,0.0001386651,0.0001057592,0.00005265521],"domain_scores_gemma":[0.9990074,0.0002681827,0.0001656906,0.0002113656,0.0002558622,0.00009161096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002920878,0.001168221,0.3303266,0.004120768,0.000992112,0.0011364,0.001357775,0.004228125,0.03202475,0.001978009,0.3670964,0.2526499],"study_design_scores_gemma":[0.000282185,0.0007751736,0.7620449,0.0004332813,0.0003229565,0.0028472,0.001266334,0.02406013,0.02137548,0.001774849,0.1846778,0.0001396831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.438622,0.003684654,0.0074484,0.000301079,0.0002352777,0.0005861616,0.5372409,0.005832191,0.006049354],"genre_scores_gemma":[0.3162121,0.0006766208,0.01894189,0.0001250784,0.0001068566,0.0006452814,0.6599143,0.0002963069,0.003081601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006798298,"threshold_uncertainty_score":0.01351744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.073126788359431,"score_gpt":0.354670430493264,"score_spread":0.281543642133833,"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."}}