{"id":"W6930302434","doi":"10.5281/zenodo.15150776","title":"caput","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Thompson Rivers University; University of British Columbia","funders":"","keywords":"Pipeline transport; Pipeline (software); Data processing; Computer virus; Metamorphic petrology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002290567,0.003184169,0.002067568,0.003638878,0.001936292,0.005593141,0.004094394,0.001194731,0.3768904],"category_scores_gemma":[0.006945633,0.001918613,0.00211566,0.004606206,0.000646747,0.004582022,0.005191601,0.002175116,0.333387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277305,"about_ca_system_score_gemma":0.002336817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006741356,"about_ca_topic_score_gemma":0.008556899,"domain_scores_codex":[0.998073,0.0002851641,0.0001393914,0.0005691918,0.0007258894,0.0002072661],"domain_scores_gemma":[0.9973391,0.000708444,0.0001494911,0.0008582149,0.0006740906,0.0002707162],"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":[0.0001746143,0.00003137694,0.0006068836,0.0004039134,0.00004512023,0.000049478,0.00008357527,0.0006574826,0.0009257995,0.00263613,0.9582959,0.03608965],"study_design_scores_gemma":[0.0001595987,0.00003788469,0.00198483,0.0001651275,0.00004676302,0.000196468,0.00006711396,0.006159118,0.004761354,0.01234061,0.9739896,0.00009148082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00149225,0.0008849928,0.05805029,0.0006444904,0.0006756997,0.0003643354,0.4618509,0.4066965,0.06934068],"genre_scores_gemma":[0.009601597,0.0006738104,0.06059252,0.001352829,0.000377231,0.001266512,0.7538167,0.1203531,0.0519657],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6231096,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458813528682412,"score_gpt":0.2722782010028271,"score_spread":0.247690065716003,"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."}}