{"id":"W2504247982","doi":"10.1017/cbo9780511571305.007","title":"Representation in Human Infants","year":2000,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Representation (politics); Computer science; Political science","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":[0.0001781802,0.0001523431,0.0001248636,0.0002657257,0.0002781601,0.001703519,0.000266244,0.0006267411,0.008675341],"category_scores_gemma":[0.0005786664,0.0001173274,0.00009160356,0.0001765486,0.001734399,0.001338232,0.0004976056,0.0006460536,0.002165646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223729,"about_ca_system_score_gemma":0.0002873977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513493,"about_ca_topic_score_gemma":0.001738056,"domain_scores_codex":[0.9998964,0.00003099044,0.000003707183,0.0000254906,0.00002989094,0.00001350605],"domain_scores_gemma":[0.9999083,0.00003935545,0.000006880514,0.00001604545,0.00001877822,0.00001052827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006841509,0.00002652216,0.001133708,0.000242118,0.0000101696,0.0009243167,0.01079421,0.0005900526,0.009200434,0.5467027,0.0426557,0.3876517],"study_design_scores_gemma":[0.000008225965,0.00009166917,0.006457659,0.0001953856,0.00001356226,0.004160314,0.001423435,0.001004704,0.003777012,0.1260007,0.856845,0.0000222436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04278234,0.02460583,0.02548425,0.003175519,0.0002996589,0.00003252684,0.0001915355,0.0003929053,0.9030353],"genre_scores_gemma":[0.5946932,0.02391778,0.02436602,0.001279634,0.0001925536,0.00007862927,0.0002736697,0.0001609443,0.3550375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008675341,"threshold_uncertainty_score":0.02902192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071589269338308,"score_gpt":0.2575751864890693,"score_spread":0.2268592937956862,"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."}}