{"id":"W4398877865","doi":"10.7910/dvn/v1rjpf/0sfsis","title":"cbb20150505_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":[0.0004960911,0.001063716,0.001081866,0.0004665765,0.0002091524,0.0003298642,0.002651798,0.0007503995,0.6849933],"category_scores_gemma":[0.001179434,0.001128922,0.0003623446,0.0006989089,0.0002998511,0.000694119,0.002061751,0.001545322,0.9997101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733083,"about_ca_system_score_gemma":0.0005473859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007333556,"about_ca_topic_score_gemma":0.0003643872,"domain_scores_codex":[0.994958,0.0003194009,0.0008099338,0.001581853,0.001317067,0.001013691],"domain_scores_gemma":[0.9944264,0.0001433251,0.0006488124,0.003789164,0.0001656543,0.0008266289],"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":[0.0002815223,0.0001646912,0.000001970612,0.0002724194,0.000303915,0.001248357,0.00002206609,0.000003669078,0.00008775816,0.00003365835,0.9975143,0.0000656737],"study_design_scores_gemma":[0.001058713,0.0001304815,0.000009845029,0.0001413712,0.0006608735,0.00007286503,0.00005460467,0.00001999928,0.00003965536,0.00002250926,0.9966029,0.001186192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001545346,1.128256e-7,0.00001042745,0.000002382996,0.001455806,0.0007107956,0.9964528,0.0005325059,0.0008336368],"genre_scores_gemma":[0.000001251248,0.0002253171,0.0004748672,0.00138541,0.001379296,0.00008121445,0.9956218,0.0002730352,0.0005577896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3147168,"threshold_uncertainty_score":0.9991161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626927154383229,"score_gpt":0.2574184495138575,"score_spread":0.2311491779700252,"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."}}