{"id":"W2128409696","doi":"10.1080/15250000802458682","title":"Contingency Learning and Reactivity in Preterm and Full‐Term Infants at 3 Months","year":2008,"lang":"en","type":"article","venue":"Infancy","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"Psychology; Arousal; Vagal tone; Reactivity (psychology); Developmental psychology; Gestational age; Heart rate; Affect (linguistics); Audiology; Pediatrics; Medicine; Internal medicine; Heart rate variability; Pregnancy; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000151266,0.0001611445,0.0002938322,0.0001187647,0.0001337401,0.00001209608,0.00003456884,0.0001188134,0.00005456516],"category_scores_gemma":[0.0001519863,0.0001510165,0.00002932578,0.00009346462,0.00009109873,0.0001726347,0.000102343,0.0002707083,0.00000423663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002945048,"about_ca_system_score_gemma":0.0000416447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002771635,"about_ca_topic_score_gemma":0.00006423749,"domain_scores_codex":[0.9990276,0.00003856859,0.0002388569,0.0002779817,0.0001541261,0.0002629306],"domain_scores_gemma":[0.9995674,0.00007578351,0.0000855351,0.0001345051,0.00003085861,0.0001059173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003412325,0.000006141998,0.9723251,0.00006242429,0.00001720348,0.0002425998,0.006587071,5.728107e-8,0.00619826,0.000004343655,0.00005132533,0.01416417],"study_design_scores_gemma":[0.001598161,0.0001261902,0.987829,0.0002234157,0.00001881251,0.0005949063,0.00003476681,0.00004922632,0.001464329,0.00002191767,0.00781616,0.0002230789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742899,0.001379261,0.00000127592,0.00008692995,0.00008291959,0.0003058785,0.000006478053,0.00005373175,0.02379366],"genre_scores_gemma":[0.9977662,0.001028004,0.0003606899,0.00009359841,0.00005412322,0.00001924322,0.00002443394,0.00001682017,0.0006368613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347636,"threshold_uncertainty_score":0.6158273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386193789852796,"score_gpt":0.2599667402804413,"score_spread":0.2461048023819133,"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."}}