{"id":"W2408019706","doi":"","title":"A MARFCLEF Approach to LifeCLEF 2015 Tasks","year":2015,"lang":"en","type":"article","venue":"CLEF (Working Notes)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Task (project management); Pipeline (software); Set (abstract data type); Artificial intelligence; Modular design; Machine learning; Programming language; Engineering","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":[0.002502558,0.002704626,0.001330045,0.002983444,0.001445875,0.002621172,0.004011303,0.003177344,0.03518684],"category_scores_gemma":[0.006756513,0.0008121673,0.001941171,0.001501089,0.000589449,0.003791236,0.003667106,0.003013332,0.0212162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470993,"about_ca_system_score_gemma":0.001851734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009289479,"about_ca_topic_score_gemma":0.01861159,"domain_scores_codex":[0.997256,0.0003619526,0.000206092,0.0008537261,0.0008790279,0.0004432132],"domain_scores_gemma":[0.9976018,0.000582348,0.000103698,0.0007142546,0.000767243,0.0002305885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006994938,0.0002522389,0.001082416,0.0003653229,0.0001041173,0.0002994185,0.0001679182,0.007426545,0.01680975,0.006062846,0.2121651,0.7545649],"study_design_scores_gemma":[0.0003275067,0.0007246839,0.004778679,0.000169412,0.00007598947,0.001476586,0.000367028,0.4683077,0.06634655,0.04212412,0.4150678,0.0002340455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01689977,0.001347053,0.7790204,0.00100987,0.000889373,0.0007023221,0.006687485,0.1733842,0.02005965],"genre_scores_gemma":[0.0872317,0.0003238775,0.8502287,0.0007042525,0.0003190704,0.000819978,0.02776848,0.007838472,0.02476546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03518684,"threshold_uncertainty_score":0.1177117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08771624813871608,"score_gpt":0.2885322312016201,"score_spread":0.200815983062904,"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."}}