{"id":"W4281476563","doi":"10.1038/s41598-022-12662-y","title":"Humans utilize sensory evidence of others’ intended action to make online decisions","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Delaware Research Foundation; National Science Foundation","keywords":"Sensory system; Action (physics); Task (project management); Cognitive psychology; Exploit; Computer science; Cognition; Psychology; Human–computer interaction; Cognitive science; Neuroscience","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":[0.002133062,0.0006876739,0.0004184301,0.0007387235,0.000664982,0.001995577,0.0007239218,0.001203899,0.004342885],"category_scores_gemma":[0.01335932,0.0003968337,0.0006336379,0.0004288553,0.001553183,0.002671865,0.002173779,0.001171479,0.0006898203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052322,"about_ca_system_score_gemma":0.0006305478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702639,"about_ca_topic_score_gemma":0.002277223,"domain_scores_codex":[0.9988006,0.0004901498,0.00004864535,0.0003245088,0.0002269182,0.0001090298],"domain_scores_gemma":[0.9927344,0.004400795,0.001122234,0.00077386,0.0005060128,0.0004626214],"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":[0.001523075,0.001012379,0.1810976,0.001416452,0.001527033,0.002396476,0.02077664,0.1187201,0.1764908,0.1486405,0.005199417,0.3411995],"study_design_scores_gemma":[0.0002088529,0.002136597,0.1868586,0.0005192584,0.0006391301,0.001873252,0.01163251,0.4005558,0.03781931,0.3149051,0.04211803,0.0007335585],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7987771,0.0006443759,0.1680418,0.001300049,0.00007284018,0.0001153895,0.0002503541,0.0002407655,0.03055732],"genre_scores_gemma":[0.9743342,0.000200641,0.02373869,0.0001272871,0.00001388912,0.00002784255,0.000102627,0.00003751663,0.001417234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004342885,"threshold_uncertainty_score":0.01452839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1352387840092298,"score_gpt":0.3914564221626988,"score_spread":0.256217638153469,"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."}}