{"id":"W4398990488","doi":"10.7910/dvn/v1rjpf/ihvrf2","title":"cbb20171203_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":"Physics","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":[0.001645374,0.003899252,0.002762822,0.006315465,0.001732086,0.00628484,0.005830724,0.004457757,0.3417742],"category_scores_gemma":[0.01150785,0.001405734,0.001960168,0.01128487,0.0009756042,0.003464513,0.004470204,0.002872244,0.3988282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002751982,"about_ca_system_score_gemma":0.003433115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04492423,"about_ca_topic_score_gemma":0.06151888,"domain_scores_codex":[0.9985871,0.0002750789,0.0001289925,0.0004417407,0.0002684767,0.000298585],"domain_scores_gemma":[0.9958689,0.001259774,0.0003130359,0.001002091,0.00102682,0.0005294426],"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":[0.00003362923,0.000007470423,0.0001423472,0.0004619828,0.0000167146,0.00000640367,0.00001349528,0.00008753868,0.00003926886,0.0003392441,0.9983124,0.0005395715],"study_design_scores_gemma":[0.0003238941,0.00001603073,0.001165582,0.0004169661,0.00002874277,0.00002470618,0.0000724951,0.000242006,0.0002083353,0.001779334,0.9956858,0.00003616397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002373591,0.00004775501,0.00002500186,0.00007614378,0.0000270513,0.000004685719,0.9987726,0.00040622,0.0006167926],"genre_scores_gemma":[0.0001816044,0.00005726099,0.000118848,0.00008978185,0.00001260067,0.00004749561,0.9984791,0.000239463,0.0007739572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6582258,"threshold_uncertainty_score":0.9388793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710738776777732,"score_gpt":0.2592566263870727,"score_spread":0.2321492386192954,"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."}}