{"id":"W4398799530","doi":"10.7910/dvn/v1rjpf/9ag083","title":"snk20151215_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":[0.001539936,0.003668005,0.002669939,0.005365599,0.001494953,0.005180492,0.005146643,0.004081796,0.3046734],"category_scores_gemma":[0.01097238,0.001279161,0.002196087,0.009555851,0.0009337941,0.003098702,0.004096434,0.002491918,0.3474702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426624,"about_ca_system_score_gemma":0.003134821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445581,"about_ca_topic_score_gemma":0.05460704,"domain_scores_codex":[0.9985605,0.0002808055,0.000153214,0.0004685437,0.0002520249,0.0002849545],"domain_scores_gemma":[0.9962842,0.001260869,0.0003167069,0.000856688,0.0008597614,0.0004218268],"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":[0.00003817521,0.000007986216,0.0002060452,0.0006699064,0.00002585595,0.000009068973,0.00001651124,0.0001258385,0.0000426317,0.0003511059,0.9978275,0.0006793743],"study_design_scores_gemma":[0.000362795,0.00002052683,0.001432783,0.0005040042,0.00004514941,0.00003719461,0.00007532859,0.0002899802,0.0002321694,0.002171375,0.9947873,0.00004135492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002881689,0.00005148329,0.00002884763,0.00006896345,0.00002815413,0.00000503299,0.9989069,0.0003427918,0.0005391098],"genre_scores_gemma":[0.0002080023,0.00006407005,0.0001244913,0.00009248992,0.00001344706,0.0000536329,0.9984537,0.0001971164,0.0007930439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6953266,"threshold_uncertainty_score":0.991799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670983414259638,"score_gpt":0.2580382427063014,"score_spread":0.231328408563705,"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."}}