{"id":"W4398377290","doi":"10.7910/dvn/8qpl75/qemg6a","title":"snk20130623_03.txt.gz","year":2021,"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":[0.001625605,0.003925015,0.002712143,0.005305985,0.001653016,0.005528722,0.005431617,0.004330717,0.2957305],"category_scores_gemma":[0.01093404,0.001316834,0.002053169,0.009260559,0.0009691696,0.003267552,0.004082791,0.002649192,0.3737729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00252364,"about_ca_system_score_gemma":0.00312729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0314747,"about_ca_topic_score_gemma":0.05118497,"domain_scores_codex":[0.9985071,0.0002999181,0.0001521339,0.0004725309,0.0002810538,0.0002872911],"domain_scores_gemma":[0.9962803,0.001307438,0.0002852897,0.0008860511,0.000816123,0.0004248535],"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":[0.00003278313,0.000008960512,0.0001836017,0.0005221004,0.00002041009,0.000008902668,0.00001555716,0.0001199341,0.00004050567,0.0003164038,0.9981225,0.0006083043],"study_design_scores_gemma":[0.0003495706,0.00002027256,0.001296813,0.0004078575,0.00003757947,0.00003697407,0.00007847128,0.0003479124,0.0002535675,0.002139223,0.9949924,0.00003927564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003369812,0.00005038658,0.00003425809,0.0000738671,0.00002849816,0.000005841872,0.9987084,0.0004501563,0.0006149278],"genre_scores_gemma":[0.0002027475,0.00005460994,0.0001292327,0.00007618943,0.00001183936,0.00005503268,0.9984806,0.0002139344,0.0007756883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7042695,"threshold_uncertainty_score":0.989317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164938236941332,"score_gpt":0.2583932714103582,"score_spread":0.2367438890409448,"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."}}