{"id":"W189385828","doi":"","title":"Emerging evidence of differences in segmentation abilities between Parisian and Canadian French infants","year":2006,"lang":"en","type":"article","venue":"","topic":"Language Development and Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Segmentation; Psychology; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001103611,0.00006128634,0.0001050056,0.0001595071,0.00002605212,0.00001208615,0.00005490798,0.00004214156,0.0007856993],"category_scores_gemma":[0.00002267034,0.00005299963,0.000009061725,0.0001193062,0.00004210123,0.00009422984,0.000009449594,0.00003545684,0.00000595099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000201417,"about_ca_system_score_gemma":0.0000481392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.680678,"about_ca_topic_score_gemma":0.8357109,"domain_scores_codex":[0.9994246,0.00003545683,0.0001865576,0.0001268801,0.00006770742,0.0001587844],"domain_scores_gemma":[0.9997272,0.000121065,0.00003404737,0.00006899317,0.00001234499,0.00003628153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001940942,0.000006069043,0.9876607,0.00001223645,0.000005921592,0.000001600611,0.00574718,2.519806e-7,0.00001666556,0.0003956021,0.0003721528,0.005779653],"study_design_scores_gemma":[0.0001859684,0.00001727461,0.9926001,0.00002964487,0.000003685573,2.32825e-7,0.006156024,0.000002372203,0.00006569233,0.0008391393,0.00002939808,0.0000704369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809561,0.0008013016,0.00003728795,0.0002203306,0.0000553421,0.00009797077,0.000002943453,0.000008964388,0.0178197],"genre_scores_gemma":[0.9989203,0.00001180418,0.0002511433,0.00004505714,0.00001470958,0.00001004933,0.00001005629,0.000002972054,0.0007339001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.155033,"threshold_uncertainty_score":0.8602856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286791788189281,"score_gpt":0.2997195391335807,"score_spread":0.2768516212516879,"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."}}