{"id":"W2956042031","doi":"10.1152/advan.00213.2018","title":"Examining the first-person perspective as appropriate prelaboratory preparation","year":2019,"lang":"en","type":"article","venue":"AJP Advances in Physiology Education","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perspective (graphical); Psychology; Mathematics education; Medical education; Computer science; Medicine; Artificial intelligence","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":[0.001442468,0.0003654335,0.0002371593,0.0003114829,0.000432106,0.001166432,0.0003692334,0.0003477514,0.004421496],"category_scores_gemma":[0.00596782,0.0001094233,0.0003017822,0.0001565441,0.0004071312,0.0007032925,0.000898422,0.0009875887,0.0004581624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002661617,"about_ca_system_score_gemma":0.0007821416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003113642,"about_ca_topic_score_gemma":0.001180651,"domain_scores_codex":[0.9990072,0.0005209249,0.00003300086,0.00009560979,0.0002152146,0.000128163],"domain_scores_gemma":[0.9965088,0.001279936,0.0008589127,0.0002615895,0.0003536255,0.0007372174],"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":[0.001356144,0.01281433,0.2649678,0.001708533,0.0001738227,0.001646701,0.06158353,0.0006590697,0.0887854,0.004867937,0.004146616,0.5572901],"study_design_scores_gemma":[0.0001891712,0.01002244,0.8465074,0.0008664456,0.0002306806,0.001917875,0.0619726,0.00250463,0.03028018,0.003678722,0.04165993,0.0001699327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862763,0.0001696603,0.005800836,0.0002544565,0.00004477414,0.0001224296,0.00003676331,0.00003413743,0.007260633],"genre_scores_gemma":[0.9898122,0.0003343634,0.006886598,0.0001335851,0.00001867184,0.0001853186,0.0000558085,0.00001070311,0.002562684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004421496,"threshold_uncertainty_score":0.01479137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961575173861014,"score_gpt":0.344118275298981,"score_spread":0.3245025235603709,"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."}}