{"id":"W4398844404","doi":"10.7910/dvn/v1rjpf/wxtdqp","title":"snk20171114_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":[0.001569649,0.003602752,0.00266265,0.005386928,0.00143444,0.005289308,0.005061919,0.004026903,0.3209528],"category_scores_gemma":[0.01103515,0.001299053,0.002100045,0.009600095,0.0009013494,0.003210712,0.004073226,0.002464132,0.3647899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002372362,"about_ca_system_score_gemma":0.003017384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03137507,"about_ca_topic_score_gemma":0.04867098,"domain_scores_codex":[0.9985883,0.0002811142,0.0001475381,0.0004495275,0.0002544933,0.0002790724],"domain_scores_gemma":[0.9963163,0.00125844,0.0003147355,0.0008423781,0.0008508625,0.0004171912],"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":[0.0000390877,0.000007798515,0.0002077206,0.0006315366,0.00002505775,0.000008761886,0.00001597011,0.0001271757,0.00004125229,0.0003786045,0.9978436,0.000673439],"study_design_scores_gemma":[0.0003612642,0.00001988303,0.001390567,0.0004846476,0.00004137271,0.00003543668,0.00007415938,0.0002911012,0.0002220962,0.002268479,0.9947711,0.00004000866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002637355,0.00004837643,0.00002861741,0.00006859468,0.00002647543,0.000004683065,0.9988925,0.000351543,0.0005528737],"genre_scores_gemma":[0.0002038115,0.00006337174,0.0001229039,0.00008990891,0.00001346344,0.00005116469,0.9984599,0.0002100352,0.0007853524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6790472,"threshold_uncertainty_score":0.9685784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685802965572398,"score_gpt":0.2589507775108071,"score_spread":0.2320927478550832,"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."}}