{"id":"W191041265","doi":"10.5649/jjphcs.32.788","title":"Pain Assessment for Cancer Patients Based on Their Pain Descriptions (part 2)-Preliminary Study for Selecting Adequate Analgesics and Adjuvant Analgesics using APQ-","year":2006,"lang":"en","type":"article","venue":"Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences)","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer pain; Opioid; Physical therapy; Pain assessment; Cancer; Pain management; Internal medicine","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":[0.002841921,0.0002935648,0.0004619307,0.0007825296,0.0004143179,0.0003787336,0.0002547299,0.0003006946,0.002136117],"category_scores_gemma":[0.008954959,0.0001355017,0.0005968892,0.0005817323,0.0002232922,0.0005793762,0.0004517738,0.0006101069,0.0003937595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567587,"about_ca_system_score_gemma":0.0005391706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007661125,"about_ca_topic_score_gemma":0.001340459,"domain_scores_codex":[0.9989433,0.0003966245,0.0002761194,0.00005010629,0.0002425001,0.0000914272],"domain_scores_gemma":[0.9964918,0.001147128,0.0008567816,0.0001385195,0.001034961,0.0003307607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003009195,0.004117373,0.859953,0.0008513611,0.0001696688,0.0004381175,0.00462296,0.0004407313,0.009893255,0.0003313922,0.002685303,0.1134876],"study_design_scores_gemma":[0.0003394238,0.008187707,0.9837992,0.00005764943,0.0000659853,0.0006983169,0.002017975,0.0006761767,0.001437317,0.0001553167,0.002530725,0.00003419696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933189,0.0003665585,0.0013741,0.0002285929,0.00002812557,0.002221335,0.0006754766,0.00001873281,0.001767984],"genre_scores_gemma":[0.9841278,0.000479652,0.008362832,0.0002403531,0.00003656043,0.004262956,0.001424868,0.000005653167,0.001059373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002841921,"threshold_uncertainty_score":0.01502967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08487132092422027,"score_gpt":0.4185810623864103,"score_spread":0.33370974146219,"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."}}