{"id":"W6945082095","doi":"10.21415/t5x01t","title":"SLABank Spanish Liceras Corpus","year":2010,"lang":"en","type":"dataset","venue":"TalkBank","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Feature (linguistics); Natural language; Subject (documents)","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":[0.001058754,0.002203931,0.001071693,0.003847853,0.00153649,0.001854608,0.002532808,0.001859898,0.05852282],"category_scores_gemma":[0.003886813,0.0007899819,0.000730383,0.004575195,0.0009541647,0.001136489,0.002897795,0.001834762,0.05977386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003289105,"about_ca_system_score_gemma":0.006441248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.353936,"about_ca_topic_score_gemma":0.5232665,"domain_scores_codex":[0.9992957,0.0001314627,0.00005870725,0.0001912849,0.0001775843,0.0001451936],"domain_scores_gemma":[0.9974159,0.0007323972,0.0001317852,0.0004390153,0.0009014781,0.0003794667],"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":[0.0002021624,0.00005225246,0.002067599,0.0005536176,0.00004258365,0.0001052052,0.0006055481,0.0003364289,0.0005528461,0.0004570645,0.9884704,0.006554127],"study_design_scores_gemma":[0.0002605903,0.00002401791,0.03520812,0.0002908953,0.00006803275,0.0001478673,0.001459553,0.0006103248,0.001194391,0.0005967072,0.9600638,0.00007580264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003585134,0.0001322485,0.0001218656,0.0001225812,0.00004207924,0.00003003768,0.9924037,0.0004644225,0.003097936],"genre_scores_gemma":[0.00289257,0.00005349428,0.0002732597,0.00003072858,0.000006573413,0.0001404111,0.9922811,0.000123296,0.004198596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.353936,"threshold_uncertainty_score":0.7037517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519800879836604,"score_gpt":0.2429923328285662,"score_spread":0.2277943240302001,"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."}}