{"id":"W4398935428","doi":"10.7910/dvn/v1rjpf/t7t6un","title":"snk20170701_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":[0.001518556,0.003803567,0.00259175,0.00523552,0.001414543,0.004983017,0.005158104,0.003980589,0.2736477],"category_scores_gemma":[0.01035298,0.001269634,0.002193582,0.009092472,0.0009167708,0.003034768,0.003978374,0.00250623,0.3404862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340905,"about_ca_system_score_gemma":0.003008336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03296696,"about_ca_topic_score_gemma":0.05309812,"domain_scores_codex":[0.9985796,0.0002741874,0.0001430553,0.0004624987,0.0002563438,0.000284344],"domain_scores_gemma":[0.9965726,0.001118768,0.0002883287,0.0008202285,0.000801098,0.000398999],"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":[0.00003693099,0.000008196276,0.0001989683,0.0005789361,0.00002480891,0.00000856198,0.00001524887,0.0001302373,0.00004507703,0.0003220891,0.9979475,0.0006834883],"study_design_scores_gemma":[0.0003623742,0.00002120885,0.001442828,0.0004463708,0.00004392757,0.0000380481,0.00007474455,0.0003368622,0.0002611891,0.002140655,0.9947906,0.00004117305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003255186,0.00005412759,0.0000314874,0.00007036252,0.00002974195,0.000004968099,0.9988313,0.0004135455,0.0005319766],"genre_scores_gemma":[0.0002053269,0.0000611478,0.0001295838,0.0000845445,0.0000132151,0.00004890135,0.9985015,0.0002023158,0.0007532901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7263523,"threshold_uncertainty_score":0.9154428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653022377281273,"score_gpt":0.2586567209836112,"score_spread":0.2321264972107985,"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."}}