{"id":"W6969218680","doi":"10.5281/zenodo.4323537","title":"hydroinfotheory/monitoring_network_objectives: v1.0.0 initial release with paper acceptance","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Work (physics); Production (economics); Control (management); Component (thermodynamics); Relation (database)","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":[0.001514545,0.001711153,0.0007809039,0.002088103,0.0003975065,0.003292432,0.002586717,0.001644605,0.3919968],"category_scores_gemma":[0.00870182,0.001772354,0.001198704,0.001793917,0.0005381602,0.002727018,0.001942095,0.00237669,0.3391061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237785,"about_ca_system_score_gemma":0.001646796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005350374,"about_ca_topic_score_gemma":0.003914755,"domain_scores_codex":[0.9993586,0.0001127825,0.00004322662,0.00008869544,0.0003161865,0.00008056488],"domain_scores_gemma":[0.9976908,0.0008574922,0.0001401086,0.0003960363,0.0007799834,0.0001355973],"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":[0.00009439431,0.00003021512,0.0005536703,0.0007292554,0.00003319358,0.00005330965,0.00007486085,0.009123707,0.0006578862,0.008884972,0.9382961,0.04146858],"study_design_scores_gemma":[0.0001980518,0.00003364596,0.001306405,0.0004314745,0.00002257655,0.00009834136,0.0000378168,0.02226836,0.004067217,0.0181916,0.9532529,0.00009167831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001829902,0.0004926529,0.1151872,0.001295885,0.0004150845,0.000584777,0.3939215,0.3688243,0.1174485],"genre_scores_gemma":[0.03189773,0.001338527,0.1176533,0.0009945529,0.0002958999,0.002272551,0.400142,0.3732467,0.07215869],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3919968,"threshold_uncertainty_score":0.8672427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086380546147583,"score_gpt":0.2461486881115501,"score_spread":0.2252848826500743,"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."}}