{"id":"W4398819061","doi":"10.7910/dvn/v1rjpf/u0etjl","title":"iqa20160504_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":[0.0004742249,0.001047427,0.001060448,0.0004596257,0.0002117624,0.0003166104,0.002626129,0.0007363449,0.8644935],"category_scores_gemma":[0.001118447,0.001091222,0.0003655372,0.0006579611,0.0003032099,0.0006871038,0.002021187,0.001478653,0.9996682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356195,"about_ca_system_score_gemma":0.0005243529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006758213,"about_ca_topic_score_gemma":0.0003230596,"domain_scores_codex":[0.9950548,0.0003118799,0.0007992536,0.001569618,0.001258399,0.001006086],"domain_scores_gemma":[0.9945403,0.0001461695,0.0006431346,0.003725853,0.0001542656,0.000790226],"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":[0.0001865789,0.0001574987,0.000002092816,0.0002689239,0.0003030052,0.001145629,0.00002032736,0.00000282694,0.0001178363,0.00003438479,0.9976699,0.00009094894],"study_design_scores_gemma":[0.001047058,0.00009108794,0.00001355726,0.0001521408,0.0006343669,0.00006771564,0.00004626642,0.00001719147,0.00004300039,0.00002116043,0.9966992,0.001167287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000144432,1.285448e-7,0.0000121035,0.000001863412,0.00141512,0.0006979475,0.9965141,0.0005299465,0.0008273651],"genre_scores_gemma":[0.000001150857,0.0002544519,0.00044107,0.001374851,0.001377671,0.00008127397,0.9955978,0.0002661579,0.000605578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1351746,"threshold_uncertainty_score":0.9991538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449345384887774,"score_gpt":0.2544252172274609,"score_spread":0.2299317633785832,"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."}}