{"id":"W4398866738","doi":"10.7910/dvn/v1rjpf/ogka9m","title":"blc20150627_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001666069,0.003822028,0.002690368,0.00558957,0.001600259,0.005662767,0.005361254,0.004385417,0.3305212],"category_scores_gemma":[0.01059922,0.001361141,0.001923293,0.01009467,0.0009538003,0.003423574,0.004134543,0.002698799,0.416555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002596681,"about_ca_system_score_gemma":0.003114342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03557566,"about_ca_topic_score_gemma":0.05183062,"domain_scores_codex":[0.9985582,0.0002882922,0.0001265777,0.0004532256,0.0002655123,0.0003082611],"domain_scores_gemma":[0.9962443,0.001108371,0.0002970341,0.000952138,0.0009262852,0.0004718008],"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":[0.00003194623,0.00000726541,0.000135951,0.000406377,0.00001589439,0.00000571969,0.00001171166,0.00009218101,0.00003787762,0.0002882771,0.9984127,0.0005541146],"study_design_scores_gemma":[0.0003257554,0.00001882553,0.001158125,0.0003663492,0.00002903204,0.00002570694,0.00006577619,0.0002686397,0.0002351597,0.001853451,0.9956169,0.00003619445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000253412,0.00004824647,0.00002840213,0.00007860604,0.00002840663,0.000004823284,0.9987261,0.0004483735,0.0006116759],"genre_scores_gemma":[0.0001826757,0.00005419892,0.0001139957,0.00009093679,0.0000133272,0.00004554979,0.998475,0.0002242403,0.0007999684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6694788,"threshold_uncertainty_score":0.9549302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601039444890286,"score_gpt":0.256910890030131,"score_spread":0.2309004955812281,"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."}}