{"id":"W4386481781","doi":"10.1080/13506285.2023.2250506","title":"Serial and joint processing of conjunctive predictions","year":2023,"lang":"en","type":"article","venue":"Visual Cognition","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Conjunction (astronomy); Psychology; Cognitive psychology; Joint (building)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001232582,0.0003699171,0.0003728315,0.0003713136,0.0001864866,0.001315506,0.0004144911,0.00053909,0.003755906],"category_scores_gemma":[0.008885,0.000466265,0.0003575471,0.0002240042,0.0005967777,0.001742859,0.001077901,0.0008409695,0.0004733588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448248,"about_ca_system_score_gemma":0.0002922197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009134067,"about_ca_topic_score_gemma":0.0007650754,"domain_scores_codex":[0.9988367,0.0001645627,0.00007033069,0.0004207967,0.0003892626,0.0001183346],"domain_scores_gemma":[0.9951475,0.002066554,0.001012646,0.001021419,0.0004410798,0.0003108103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002150555,0.0003870872,0.07023025,0.0002970333,0.0001648917,0.0007817654,0.002655402,0.005424355,0.72834,0.009704463,0.000908201,0.1789559],"study_design_scores_gemma":[0.0001534063,0.00183598,0.6424047,0.00008884048,0.0002639919,0.001549955,0.001213434,0.1206674,0.1886919,0.03969146,0.003252554,0.0001864178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690974,0.00006349751,0.02212858,0.00008236725,0.00003110873,0.00003061536,0.0000963634,0.0002886751,0.008181506],"genre_scores_gemma":[0.9920426,0.00003804002,0.00699584,0.00002702746,0.00001109129,0.00001896718,0.00008432347,0.00004599201,0.0007362077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003755906,"threshold_uncertainty_score":0.01256472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2282548954202365,"score_gpt":0.4161017794556924,"score_spread":0.1878468840354559,"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."}}