{"id":"W7069237244","doi":"","title":"Novembre 2020","year":2020,"lang":"fr","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Center (category theory); Context (archaeology); Government (linguistics); George (robot); Work (physics); State (computer science); Public policy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007876596,0.0007761631,0.0004686657,0.001261059,0.001749514,0.005617292,0.000700056,0.002182452,0.6311158],"category_scores_gemma":[0.002088726,0.0002792535,0.0004159882,0.0009520947,0.0005773572,0.002484412,0.002459686,0.00230043,0.5057999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137545,"about_ca_system_score_gemma":0.0024872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856056,"about_ca_topic_score_gemma":0.0474804,"domain_scores_codex":[0.9992042,0.00006769817,0.00003740338,0.0001520736,0.0003802905,0.0001583438],"domain_scores_gemma":[0.9990398,0.00005612244,0.00005932219,0.00009285541,0.000422919,0.0003289681],"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":[0.00005718186,0.00001906854,0.0003789515,0.00008422964,0.000003279392,0.00005905488,0.00007409098,0.00003452652,0.0003252799,0.00813818,0.9352163,0.05560981],"study_design_scores_gemma":[0.000001978314,0.000003969554,0.0004286281,0.00001871227,3.876999e-7,0.00001764648,0.00002287874,0.000008057041,0.00004024745,0.0001797249,0.9992761,0.000001714357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001347279,0.002741472,0.0006643729,0.006780182,0.0147941,0.0001218432,0.009894849,0.0009450216,0.9627109],"genre_scores_gemma":[0.002188679,0.0006007227,0.0002781792,0.001079272,0.0006089155,0.00004323463,0.002506683,0.000291315,0.9924029],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6311158,"threshold_uncertainty_score":0.5261685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007224015466982509,"score_gpt":0.2331082424141177,"score_spread":0.2258842269471352,"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."}}