{"id":"W7096718891","doi":"","title":"doi: 10.3389/fpsyg.2014.01464 Understanding multilingualism and its implications","year":2014,"lang":"en","type":"article","venue":"","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multilingualism; Conversation; First language; Demographics; Neuroscience of multilingualism; Population; Sociolinguistics; State (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008806742,0.0005145432,0.0003594966,0.000799422,0.001029697,0.001555014,0.0005266713,0.002885617,0.3743973],"category_scores_gemma":[0.0021649,0.00028555,0.0002600689,0.0006363443,0.001511745,0.001671531,0.0008166552,0.001394531,0.04976404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204137,"about_ca_system_score_gemma":0.0009397706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02607382,"about_ca_topic_score_gemma":0.02902576,"domain_scores_codex":[0.9998698,0.00002671428,0.000003384086,0.00002182499,0.00002529991,0.00005298253],"domain_scores_gemma":[0.99967,0.0001796025,0.00002934954,0.000008068808,0.00003825924,0.0000747119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001737337,0.0001932483,0.02925857,0.0004066929,0.00001762655,0.002416863,0.002945967,0.0003016453,0.0003271106,0.02262476,0.6279086,0.3134252],"study_design_scores_gemma":[0.0002731794,0.0001491515,0.1748803,0.005048778,0.00007005637,0.006801763,0.0190773,0.001775604,0.0002429638,0.06938569,0.7221896,0.0001056144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0825591,0.04754129,0.002003601,0.211344,0.006209363,0.000128988,0.01086113,0.0002938651,0.6390586],"genre_scores_gemma":[0.7464101,0.03806799,0.00329506,0.01183118,0.003100961,0.0004169597,0.004566761,0.00007516238,0.1922358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3743973,"threshold_uncertainty_score":0.8923463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2036969587320444,"score_gpt":0.4921423567071321,"score_spread":0.2884453979750876,"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."}}