{"id":"W4398538463","doi":"10.7910/dvn/8qpl75/uzpwv8","title":"pon20150311_03.txt.gz","year":2021,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007751278,0.001012799,0.001080006,0.0005865979,0.0002314134,0.0004338307,0.00202703,0.0008692631,0.8864922],"category_scores_gemma":[0.001226174,0.001099007,0.0003969831,0.0007592643,0.0002735102,0.0006810568,0.002178784,0.001381596,0.9978468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004730358,"about_ca_system_score_gemma":0.0008807664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112271,"about_ca_topic_score_gemma":0.00101643,"domain_scores_codex":[0.9947034,0.0004317049,0.0007977687,0.00160382,0.001353353,0.001109972],"domain_scores_gemma":[0.9926825,0.0001676464,0.0005794422,0.005689881,0.0003190171,0.0005615478],"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":[0.00008332286,0.0002913417,0.000003116544,0.0002372697,0.000347192,0.002591743,0.00001138532,0.000003803209,0.0001515798,0.00002614379,0.9961648,0.00008832217],"study_design_scores_gemma":[0.0009467798,0.00004083188,0.00002112778,0.000270566,0.0006370752,0.0002245421,0.00009544753,0.000007689078,0.00007363709,0.00001432996,0.9964964,0.001171599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006232508,6.695563e-7,0.000006888025,9.85223e-7,0.002120508,0.0004766688,0.9959798,0.0003051354,0.001103048],"genre_scores_gemma":[7.106889e-7,0.0003937279,0.0004910524,0.0006668583,0.001064707,0.00007756415,0.9950535,0.0002454825,0.002006433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1113546,"threshold_uncertainty_score":0.999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021921231902982,"score_gpt":0.2606879925534373,"score_spread":0.2387667606504553,"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."}}