{"id":"W4254695748","doi":"10.31219/osf.io/hyjm8","title":"OPAM XXV: The 25th Annual Meeting on Object Perception, Attention, and Memory","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; Object (grammar); Cognition; Foundation (evidence); Library science; Psychology; Research Object; Cognitive science; Cognitive psychology; Computer science; History; Geography; Regional science; Artificial intelligence; Neuroscience; Archaeology","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":[0.001078201,0.0002864119,0.0002162606,0.0001716858,0.0005687659,0.0004850494,0.0008413129,0.0002026962,0.0001284764],"category_scores_gemma":[0.00007162084,0.0001941931,0.000155302,0.000220555,0.0001491742,0.0002598241,0.001174177,0.0004687395,0.0002790598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006919308,"about_ca_system_score_gemma":0.00006747212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491691,"about_ca_topic_score_gemma":0.00004708997,"domain_scores_codex":[0.9976636,0.000297409,0.0003828156,0.0008717283,0.0005058751,0.0002786015],"domain_scores_gemma":[0.9985064,0.00004922031,0.000209454,0.0008314619,0.0003097728,0.00009374388],"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":[0.0002372372,0.001969617,0.01306797,0.001294933,0.0008918549,0.00006044971,0.05034747,0.002208119,0.01572897,0.09142548,0.3090539,0.513714],"study_design_scores_gemma":[0.00156083,0.001619751,0.6378947,0.0008763405,0.0001439998,0.0002411674,0.006924951,0.3155075,0.001534748,0.02109505,0.01004028,0.002560601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.721905,0.0001103634,0.2269944,0.005160071,0.005539315,0.0009673168,0.00001434495,0.001019672,0.03828955],"genre_scores_gemma":[0.9877309,0.00007605269,0.003488054,0.001285728,0.0006125306,0.00005511252,0.00001133343,0.00002043178,0.006719901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6248268,"threshold_uncertainty_score":0.7918965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884083179696853,"score_gpt":0.2827727913319894,"score_spread":0.2639319595350209,"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."}}