{"id":"W1993720179","doi":"10.1016/j.actpsy.2006.11.003","title":"End-point focus manipulations to determine what information is used during observational learning","year":2007,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Observational study; Focus (optics); Observational learning; Psychology; Point (geometry); End point; Cognitive psychology; Communication; Computer science; Medicine; Physics; Mathematics; Mathematics education; Optics; Experiential learning; Geometry","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":[0.001143427,0.0009490756,0.0006516635,0.000383888,0.0004304805,0.0006720675,0.0008915348,0.0007642847,0.007966218],"category_scores_gemma":[0.01142875,0.0005170809,0.0002510127,0.000296114,0.0009901385,0.001530092,0.001371734,0.002180346,0.0004553687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003688883,"about_ca_system_score_gemma":0.0008140416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008506054,"about_ca_topic_score_gemma":0.001151886,"domain_scores_codex":[0.9988421,0.0001726894,0.0001580449,0.0003177705,0.0003480816,0.0001614975],"domain_scores_gemma":[0.9888431,0.007664903,0.001179571,0.001054895,0.0006181424,0.0006393697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007857165,0.002132874,0.001786707,0.0003630711,0.00003283897,0.00008550042,0.001671791,0.0001464559,0.9646428,0.001772522,0.0002044313,0.01930372],"study_design_scores_gemma":[0.002727372,0.01330189,0.1332684,0.0001409581,0.0003812058,0.0003199957,0.001046896,0.007426665,0.8290649,0.00653177,0.005691892,0.00009797973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667113,0.0002650961,0.02490359,0.0002185184,0.0001882995,0.0005344884,0.0003766172,0.0003719424,0.006430231],"genre_scores_gemma":[0.9660206,0.000211237,0.02635197,0.0002319682,0.00005394968,0.001503707,0.0003180035,0.0003724886,0.004936135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007966218,"threshold_uncertainty_score":0.02664965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086607370083271,"score_gpt":0.3540543424044835,"score_spread":0.2453936053961564,"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."}}