{"id":"W4398952081","doi":"10.7910/dvn/v1rjpf/o3dwhl","title":"cbb20170629_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":[0.001595282,0.003690396,0.002594098,0.005984402,0.001619498,0.005987069,0.005587101,0.004209201,0.3282207],"category_scores_gemma":[0.01135459,0.001341024,0.001942546,0.01103509,0.0009559701,0.003251726,0.00437589,0.002774,0.389474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002653109,"about_ca_system_score_gemma":0.003334997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04511048,"about_ca_topic_score_gemma":0.0626596,"domain_scores_codex":[0.9986024,0.0002679881,0.0001302681,0.000442855,0.0002611458,0.0002953038],"domain_scores_gemma":[0.9960407,0.001181205,0.0003124286,0.0009703772,0.0009916611,0.0005036026],"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":[0.00003230898,0.000007031143,0.0001410832,0.0004598364,0.00001682367,0.000006217223,0.00001321652,0.00008807906,0.00003951766,0.0003361533,0.998297,0.0005626138],"study_design_scores_gemma":[0.0003075605,0.00001568363,0.00114871,0.0004164484,0.00002854869,0.00002465194,0.00007100793,0.0002322866,0.0002046887,0.001773364,0.9957425,0.00003454662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002389716,0.00004748255,0.00002514368,0.00007442506,0.00002674625,0.000004458942,0.9988397,0.000376034,0.0005821955],"genre_scores_gemma":[0.000184404,0.00005860267,0.0001227163,0.00009170152,0.00001254033,0.00004691747,0.9984503,0.0002260008,0.0008067356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6717793,"threshold_uncertainty_score":0.9582117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623050817960142,"score_gpt":0.2581867601465389,"score_spread":0.2319562519669375,"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."}}