{"id":"W3146570835","doi":"10.1007/s00426-021-01509-2","title":"The influence of object size on second-order planning in an overturned cup task","year":2021,"lang":"en","type":"article","venue":"Psychological Research","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Task (project management); Object (grammar); Motor planning; Order (exchange); Psychology; Computer science; Cognitive psychology; Artificial intelligence; Engineering","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":[0.0005221651,0.0004889656,0.0004364997,0.0002159052,0.0002969574,0.001282548,0.0005449571,0.0005133093,0.004154622],"category_scores_gemma":[0.01550312,0.0004541373,0.0001506678,0.000295064,0.0006492661,0.0007480761,0.0005165248,0.0009215689,0.0002708709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908611,"about_ca_system_score_gemma":0.0008536872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005902182,"about_ca_topic_score_gemma":0.00520272,"domain_scores_codex":[0.9997392,0.00006971886,0.00001672602,0.00005814261,0.00007901018,0.00003717641],"domain_scores_gemma":[0.9883922,0.009571755,0.0008227356,0.0004190389,0.0002098481,0.0005844259],"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":[0.02244836,0.001225622,0.01127258,0.0003384574,0.0001126502,0.0003693613,0.001247789,0.01105232,0.8971789,0.001787324,0.001155614,0.05181104],"study_design_scores_gemma":[0.002097401,0.008553231,0.6920854,0.0001111064,0.0004810536,0.0006223362,0.00126048,0.1111224,0.1701871,0.01014984,0.003066923,0.0002626465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964188,0.0000948073,0.0008930838,0.00005689693,0.00003114866,0.00001783484,0.00006319426,0.00004831318,0.00237585],"genre_scores_gemma":[0.9967234,0.0001070746,0.001379443,0.00004038483,0.0000121862,0.00003014171,0.00009680475,0.0001532837,0.001457369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005902182,"threshold_uncertainty_score":0.01389861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426370492426985,"score_gpt":0.4499567447641761,"score_spread":0.3073196955214776,"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."}}