{"id":"W4398917976","doi":"10.7910/dvn/v1rjpf/ndpjus","title":"mea20171007_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.001326492,0.003111094,0.002279837,0.005354096,0.001167866,0.005085228,0.004636799,0.003506651,0.3248687],"category_scores_gemma":[0.0109716,0.001173332,0.001866095,0.009992647,0.0007527343,0.003063498,0.003640787,0.002287913,0.3324724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197198,"about_ca_system_score_gemma":0.002664063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388811,"about_ca_topic_score_gemma":0.0492869,"domain_scores_codex":[0.9988501,0.0002305204,0.000116426,0.0003659546,0.0002107593,0.0002261396],"domain_scores_gemma":[0.9965864,0.001146228,0.0003039172,0.000786889,0.0007829937,0.0003935137],"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":[0.00003499252,0.000006367053,0.0001986947,0.0005334641,0.00002428014,0.000007329936,0.00001342127,0.0001304496,0.00003409109,0.0004365984,0.9978383,0.0007420089],"study_design_scores_gemma":[0.000285467,0.00001381401,0.001272749,0.0004037901,0.00003211476,0.00002413094,0.00005971941,0.0002452506,0.0001818341,0.00210249,0.9953451,0.00003352058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002236173,0.00004348552,0.00002738285,0.00006858184,0.00002163072,0.000003800288,0.998899,0.0003470821,0.0005666237],"genre_scores_gemma":[0.0002519958,0.00007236475,0.0001521296,0.0001003293,0.0000154664,0.00005215723,0.9982157,0.0002593315,0.0008805781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6751313,"threshold_uncertainty_score":0.9629929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286066497350277,"score_gpt":0.2597588510252929,"score_spread":0.2311522012902652,"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."}}