{"id":"W4398841062","doi":"10.7910/dvn/v1rjpf/prrfqj","title":"mea20150817_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":[],"category_scores_codex":[0.001416124,0.003384965,0.002191095,0.00512805,0.001230086,0.00503011,0.004731801,0.003718179,0.2934397],"category_scores_gemma":[0.01039718,0.001178765,0.001900615,0.008803017,0.0008347112,0.003131757,0.003751771,0.002416639,0.3397675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210826,"about_ca_system_score_gemma":0.00257139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03097506,"about_ca_topic_score_gemma":0.04744441,"domain_scores_codex":[0.9987999,0.0002427696,0.0001182294,0.0003842984,0.0002215334,0.0002331639],"domain_scores_gemma":[0.996703,0.001041122,0.0002686233,0.0008377729,0.0007542027,0.0003952752],"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":[0.00003367872,0.000007329622,0.0001823993,0.0004669739,0.00002193198,0.000007279799,0.00001407386,0.0001334061,0.00003987512,0.0003937788,0.997964,0.0007352242],"study_design_scores_gemma":[0.0002830985,0.00001637298,0.001208424,0.0003541174,0.00002943982,0.00002666831,0.00006650342,0.0003047832,0.0002271509,0.002166712,0.9952813,0.00003531909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002945419,0.00004519461,0.00003432743,0.00008048716,0.00002758887,0.000004680824,0.9986849,0.0004865941,0.0006067389],"genre_scores_gemma":[0.0002566599,0.0000638038,0.0001626176,0.0000953394,0.0000152102,0.00005141915,0.9982514,0.000268938,0.0008345929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7065603,"threshold_uncertainty_score":0.9816536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836286232208673,"score_gpt":0.2577683967869728,"score_spread":0.2294055344648861,"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."}}