{"id":"W4398990050","doi":"10.7910/dvn/v1rjpf/vpybch","title":"cbb20150401_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; Mathematics","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":[0.001639464,0.00390859,0.002686341,0.006170872,0.001696134,0.006075777,0.005734756,0.004383225,0.3240911],"category_scores_gemma":[0.01149739,0.001364216,0.002004792,0.01130228,0.0009997978,0.003358504,0.004473364,0.002851208,0.3839564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002801087,"about_ca_system_score_gemma":0.003414065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04517733,"about_ca_topic_score_gemma":0.06375206,"domain_scores_codex":[0.9985361,0.000281063,0.0001363982,0.0004675712,0.000273795,0.000305119],"domain_scores_gemma":[0.9958288,0.001271773,0.0003245842,0.001022668,0.001024449,0.0005277522],"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":[0.00003346829,0.000007441871,0.0001430098,0.0004871417,0.00001742084,0.000006493912,0.00001375851,0.00009160124,0.00004142786,0.0003343022,0.9982597,0.0005640943],"study_design_scores_gemma":[0.000318436,0.00001659163,0.001176414,0.0004319008,0.00003008634,0.00002659297,0.00007406469,0.0002494808,0.0002201423,0.001842154,0.9955779,0.00003638101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002564813,0.000051171,0.00002586263,0.0000770897,0.00002723415,0.00000476529,0.9987984,0.0003988268,0.0005910174],"genre_scores_gemma":[0.0001898266,0.00006000995,0.0001244916,0.00009173745,0.00001232782,0.00004789345,0.9984806,0.0002306587,0.0007624183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6759089,"threshold_uncertainty_score":0.964102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633682481075176,"score_gpt":0.2574856251301236,"score_spread":0.2311488003193719,"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."}}