{"id":"W6963629377","doi":"10.21415/t5t59n","title":"CABank French CallFriend Corpus","year":2004,"lang":"en","type":"dataset","venue":"TalkBank","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Feature (linguistics); Subject (documents); Corpus linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001284482,0.003651466,0.002235223,0.006110528,0.00432462,0.002947457,0.003411443,0.003187599,0.04362912],"category_scores_gemma":[0.003745138,0.0009348918,0.00137093,0.005988769,0.00118407,0.001132395,0.001961506,0.002543938,0.04045393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006472023,"about_ca_system_score_gemma":0.01332949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6639426,"about_ca_topic_score_gemma":0.7481521,"domain_scores_codex":[0.9979177,0.0004065235,0.0001077198,0.0005114976,0.0005793761,0.0004771566],"domain_scores_gemma":[0.9969842,0.0006500015,0.0001240698,0.0005376889,0.001307882,0.0003962275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004000888,0.000157003,0.00135112,0.0004185464,0.00007869476,0.0002460632,0.0003574075,0.000837102,0.00183941,0.0009220939,0.9793452,0.01404719],"study_design_scores_gemma":[0.0004276292,0.00007569206,0.03667824,0.0002245507,0.0001528793,0.0005661323,0.0008951955,0.003780566,0.00350325,0.0005323726,0.9530181,0.0001453995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01333687,0.000713808,0.00111712,0.0003846426,0.0002051983,0.0001596316,0.9708609,0.003901585,0.009320379],"genre_scores_gemma":[0.006954368,0.0001343426,0.001061236,0.00007771423,0.0000388428,0.0001932912,0.9831519,0.0003427906,0.008045591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6639426,"threshold_uncertainty_score":0.676073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421893178979903,"score_gpt":0.2631932828954394,"score_spread":0.2489743511056403,"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."}}