{"id":"W4398861249","doi":"10.7910/dvn/v1rjpf/elgu9o","title":"cbb20150428_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":"Mathematics","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":[0.000489353,0.001049784,0.001068743,0.0004589462,0.0002055647,0.0003253562,0.002618009,0.0007412396,0.7241479],"category_scores_gemma":[0.001146034,0.001114662,0.0003571003,0.0006861924,0.0003004811,0.0006865035,0.002041476,0.001495822,0.9997203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670933,"about_ca_system_score_gemma":0.0005464376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007118271,"about_ca_topic_score_gemma":0.0003509563,"domain_scores_codex":[0.9950213,0.0003153809,0.00079935,0.001561961,0.001301463,0.001000481],"domain_scores_gemma":[0.9945009,0.0001368392,0.0006412871,0.003741732,0.0001631977,0.0008159878],"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":[0.0001869164,0.000161868,0.000002252567,0.0002698505,0.0002934121,0.001238139,0.00002202519,0.000003643154,0.0001021341,0.00003457827,0.9976195,0.00006570345],"study_design_scores_gemma":[0.001047821,0.00009553438,0.00001160413,0.0001397362,0.0006488987,0.0000726598,0.00004470126,0.00001952247,0.00004131273,0.00002892545,0.9966801,0.00116912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000126344,1.09187e-7,0.00001119739,0.000002783724,0.001436024,0.0007004491,0.9965513,0.0005247477,0.000772088],"genre_scores_gemma":[0.000001218429,0.0002229796,0.0004419806,0.001359387,0.001356227,0.00007978095,0.9957153,0.0002654554,0.0005577229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2755724,"threshold_uncertainty_score":0.9991304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633682481075176,"score_gpt":0.2574856251301236,"score_spread":0.2311488003193719,"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."}}