{"id":"W4398823554","doi":"10.7910/dvn/v1rjpf/yvgknt","title":"iqa20150529_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Linguistic, Cultural, and Literary Studies","field":"Social Sciences","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":[0.0003619542,0.0003602853,0.0004916824,0.00005909282,0.001286049,0.0004567055,0.001051065,0.0003122919,0.1791173],"category_scores_gemma":[0.002185108,0.0003236158,0.0001753401,0.0002603544,0.0005857082,0.0003281704,0.0004903742,0.0004696316,0.6832729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151859,"about_ca_system_score_gemma":0.000393209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00577189,"about_ca_topic_score_gemma":0.002463087,"domain_scores_codex":[0.9975526,0.0002519155,0.0003633557,0.0005972306,0.0006916289,0.0005432889],"domain_scores_gemma":[0.9984677,0.0001651791,0.000221181,0.0006199876,0.00018284,0.0003430521],"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":[0.00001917746,0.00003627145,0.000009693724,0.00007699955,0.0001108178,0.0001593867,0.003453594,2.075125e-7,3.381411e-7,0.000743414,0.9952568,0.0001332924],"study_design_scores_gemma":[0.0002116516,0.00003266968,0.00001671188,0.00006307947,0.0001701401,0.000001361728,0.001916482,0.000001086747,5.203707e-7,0.00009669604,0.9970669,0.000422748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003149853,0.000001751089,0.000001772823,0.0000340711,0.002726874,0.0003239899,0.9862194,0.0001389172,0.0105501],"genre_scores_gemma":[0.00001415518,0.001764202,0.000224282,0.001669366,0.003595199,0.00002330332,0.9893138,0.00001705785,0.003378591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5041556,"threshold_uncertainty_score":0.9999216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03261867864724072,"score_gpt":0.2943954513057984,"score_spread":0.2617767726585576,"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."}}