{"id":"W4398935129","doi":"10.7910/dvn/v1rjpf/g12ixw","title":"snk20161119_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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004711132,0.001048356,0.001057905,0.0004595014,0.0002111452,0.0003165265,0.002624684,0.000723774,0.8346745],"category_scores_gemma":[0.001101103,0.001091883,0.000364035,0.0006546478,0.0003062851,0.0006891415,0.002018403,0.001475753,0.9996737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003590088,"about_ca_system_score_gemma":0.0005294998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006467897,"about_ca_topic_score_gemma":0.000250667,"domain_scores_codex":[0.9950998,0.0003099003,0.0007973373,0.001569807,0.001219084,0.001004047],"domain_scores_gemma":[0.9945459,0.00014619,0.0006418181,0.003739261,0.0001535123,0.0007733258],"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":[0.0001868359,0.0001579198,0.000001382519,0.0002734147,0.0003030748,0.00117711,0.00002031631,0.000003047952,0.0001865751,0.00003153314,0.9975706,0.0000882214],"study_design_scores_gemma":[0.001046516,0.00009012342,0.000008586732,0.0001547188,0.0006341834,0.0000691229,0.00004491638,0.00001724558,0.00007490784,0.00002082476,0.9966705,0.00116834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001267907,1.250041e-7,0.00001202414,0.000002528561,0.001415662,0.0006978688,0.9964556,0.0005236972,0.0008912241],"genre_scores_gemma":[0.000001095222,0.0002344569,0.0004283077,0.001458781,0.00135612,0.0000793431,0.9954933,0.0002675916,0.0006810394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1649993,"threshold_uncertainty_score":0.9991531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490774248472147,"score_gpt":0.2556482314020241,"score_spread":0.2307404889173026,"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."}}