{"id":"W4399010608","doi":"10.7910/dvn/v1rjpf/0umezb","title":"cbb20150524_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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004901316,0.001051487,0.001070309,0.0004623818,0.0002063644,0.000325204,0.00263062,0.0007418743,0.6933647],"category_scores_gemma":[0.001137412,0.001116156,0.0003576082,0.0006933588,0.0002961152,0.0006859949,0.002053233,0.001529513,0.99972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689213,"about_ca_system_score_gemma":0.0005481014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007090253,"about_ca_topic_score_gemma":0.0003546941,"domain_scores_codex":[0.9950114,0.0003159645,0.0008001543,0.001566843,0.001303182,0.001002464],"domain_scores_gemma":[0.9944726,0.0001375864,0.0006414776,0.003767632,0.0001633021,0.0008173622],"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":[0.0001872426,0.0001625405,0.000002272504,0.0002693175,0.0003006703,0.001240456,0.00002172074,0.000003565326,0.0001064215,0.00003252325,0.9975933,0.00007991362],"study_design_scores_gemma":[0.001050206,0.00009567927,0.00001172158,0.0001448751,0.0006496183,0.00007211312,0.00005394625,0.00002024602,0.00004190979,0.00002162146,0.9966657,0.001172386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001413008,1.152402e-7,0.00001154402,0.000002350434,0.001441168,0.0007022081,0.9965024,0.000525686,0.0008131071],"genre_scores_gemma":[0.000001154712,0.0002308114,0.0004773049,0.001368063,0.001377462,0.00007535847,0.9956535,0.0002698043,0.0005465368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3063553,"threshold_uncertainty_score":0.9991289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628147564781117,"score_gpt":0.2574281466617416,"score_spread":0.2311466710139305,"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."}}