{"id":"W1989199615","doi":"10.1182/blood-2013-07-514091","title":"Pinning down myeloma with Pim2 inhibitors!","year":2013,"lang":"en","type":"letter","venue":"Blood","topic":"Cancer Mechanisms and Therapy","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiple myeloma; Cancer research; Biology; Suppressor; Immunology; Genetics; Cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297883,0.0007648282,0.001047237,0.0006147027,0.00136175,0.002182452,0.001085484,0.01115258,0.005418462],"category_scores_gemma":[0.005411749,0.0003920418,0.001017311,0.0003744162,0.001195503,0.002449342,0.0009001168,0.01541607,0.00493277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512542,"about_ca_system_score_gemma":0.0009376688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007272165,"about_ca_topic_score_gemma":0.002010532,"domain_scores_codex":[0.9988666,0.000244893,0.0001054477,0.0001021519,0.0005190332,0.0001618511],"domain_scores_gemma":[0.9988391,0.0005169721,0.00009164794,0.00005175517,0.0002260349,0.0002745279],"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":[0.0002111216,0.0001650449,0.0005035611,0.00009557378,0.00003145926,0.001929736,0.00004509629,0.0001328649,0.0009014372,0.002295336,0.9373882,0.05630061],"study_design_scores_gemma":[0.0005299905,0.0003361116,0.00104167,0.0001959038,0.00005593618,0.002801131,0.0002007504,0.000746286,0.001473546,0.009708107,0.9828479,0.00006258309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001744064,0.01659614,0.0005944064,0.9112303,0.06274479,0.00005622284,0.0001156507,0.0002173298,0.006701053],"genre_scores_gemma":[0.0126032,0.0135719,0.000972515,0.7950032,0.1617427,0.0001091222,0.0001034319,0.00005287636,0.01584089],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01115258,"threshold_uncertainty_score":0.01812655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00922889441527449,"score_gpt":0.2171437716713072,"score_spread":0.2079148772560327,"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."}}