{"id":"W1658181916","doi":"10.3747/co.v0i0.340","title":"Panel Discussion 2","year":2008,"lang":"en","type":"article","venue":"Current Oncology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02497276,0.001490018,0.002312532,0.001956715,0.008877147,0.01322538,0.005726567,0.07342348,0.1478162],"category_scores_gemma":[0.08327108,0.001384719,0.003792998,0.00251841,0.003020677,0.006946943,0.005370252,0.04350647,0.04957638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006796782,"about_ca_system_score_gemma":0.01333484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02542566,"about_ca_topic_score_gemma":0.04361413,"domain_scores_codex":[0.9871837,0.003160625,0.0006104776,0.002726136,0.003387223,0.002931804],"domain_scores_gemma":[0.9476293,0.03596066,0.001385847,0.002556877,0.009436881,0.003030452],"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":[0.00004535229,0.00001708481,0.0001694245,0.00005237904,0.00001130995,0.0000618802,0.00007275038,0.00005327792,0.00008348432,0.0056969,0.9917651,0.001971203],"study_design_scores_gemma":[0.0002300352,0.00003013857,0.002498324,0.0005533668,0.000111523,0.00008374045,0.0008504267,0.0002330229,0.0004866571,0.01733632,0.9775102,0.0000763503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007236142,0.0007609304,0.0005494875,0.917941,0.03082589,0.0002845011,0.003289181,0.00008463494,0.04554076],"genre_scores_gemma":[0.003306333,0.0003003421,0.0003830749,0.9401459,0.009447404,0.0005419197,0.0004668357,0.00004955789,0.0453587],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1478162,"threshold_uncertainty_score":0.4944943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6308189263392884,"score_gpt":0.5414606696635275,"score_spread":0.08935825667576092,"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."}}