{"id":"W4398815866","doi":"10.7910/dvn/v1rjpf/lk3zqt","title":"mea20171218_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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001406808,0.003634027,0.002363855,0.005428357,0.00143772,0.005269636,0.005009884,0.003898275,0.3027346],"category_scores_gemma":[0.01044147,0.00125474,0.00194467,0.009519253,0.0008712478,0.003345075,0.003928191,0.002532453,0.35206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352116,"about_ca_system_score_gemma":0.002802562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03456042,"about_ca_topic_score_gemma":0.05284936,"domain_scores_codex":[0.9987552,0.0002481613,0.0001188313,0.0004026814,0.000227515,0.0002475446],"domain_scores_gemma":[0.9965723,0.001082971,0.0002698922,0.0008548291,0.0008131074,0.0004069134],"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":[0.00003277738,0.000007167309,0.0001679754,0.000475906,0.00002094617,0.000007307766,0.0000147459,0.0001175938,0.0000405818,0.0003746839,0.9980844,0.0006557743],"study_design_scores_gemma":[0.0002755219,0.00001480584,0.001179907,0.0003323396,0.0000293026,0.00002469248,0.0000664465,0.0002584253,0.0002136415,0.001944447,0.9956253,0.00003522371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002759402,0.00004447247,0.00003020751,0.0000736835,0.00002607464,0.000004441806,0.998745,0.0004474726,0.0006010907],"genre_scores_gemma":[0.000221899,0.00005946829,0.00014756,0.00008625176,0.0000140332,0.00004990555,0.9983735,0.0002467246,0.0008005326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6972654,"threshold_uncertainty_score":0.9945644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867256322178266,"score_gpt":0.2588152187102693,"score_spread":0.2301426554884866,"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."}}