{"id":"W7096683114","doi":"","title":"PIERRICK PLAMONDON TECHNIQUES FOR THE ALLOCATION OF RESOURCES UNDER UNCERTAINTY","year":2015,"lang":"en","type":"article","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Molecular cell biology; Software; Work (physics); MEDLINE","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":[0.007026668,0.002064945,0.001616972,0.003455178,0.001832966,0.004089485,0.002925042,0.00274467,0.01610643],"category_scores_gemma":[0.02982537,0.001448146,0.002624995,0.005624299,0.004488165,0.00915785,0.00518178,0.007387095,0.002831273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005439167,"about_ca_system_score_gemma":0.003592276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129864,"about_ca_topic_score_gemma":0.01282419,"domain_scores_codex":[0.9965318,0.001727518,0.0001944314,0.0006056593,0.0006835049,0.0002569451],"domain_scores_gemma":[0.9859925,0.01159109,0.0004644601,0.0006215324,0.00108005,0.0002503119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007704294,0.00002980263,0.0004630457,0.0002219949,0.000108984,0.0001274176,0.0003293215,0.08477331,0.000582504,0.8593763,0.01022078,0.04368956],"study_design_scores_gemma":[0.0000227908,0.00001630893,0.0001169121,0.00007771677,0.0000350666,0.00003259747,0.00008945505,0.122315,0.0003640321,0.8589783,0.01792325,0.00002869182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002193571,0.003034677,0.9724141,0.004350968,0.0003364002,0.00007520999,0.00009702462,0.0001068254,0.0173912],"genre_scores_gemma":[0.2161487,0.01387868,0.6691574,0.001928294,0.001444504,0.001086659,0.0003996643,0.0007087405,0.09524734],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01610643,"threshold_uncertainty_score":0.05388135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306491258697724,"score_gpt":0.3241631190165519,"score_spread":0.09351399314677944,"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."}}