{"id":"W4398966098","doi":"10.7910/dvn/v1rjpf/bh9fvk","title":"blc20160526_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":[0.001673658,0.003852359,0.00265671,0.005634039,0.001583064,0.005632433,0.005459635,0.004341193,0.3100757],"category_scores_gemma":[0.01085477,0.001351604,0.002016191,0.01038432,0.0009690532,0.003312587,0.00414087,0.002749763,0.3891028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026707,"about_ca_system_score_gemma":0.003144704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03797919,"about_ca_topic_score_gemma":0.05590779,"domain_scores_codex":[0.998512,0.0002988275,0.0001334786,0.0004724476,0.0002728526,0.00031043],"domain_scores_gemma":[0.996208,0.001110745,0.0003103463,0.0009653629,0.0009352804,0.0004702403],"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":[0.00003146344,0.000007250912,0.0001374288,0.0004337156,0.000017372,0.000005825271,0.0000121053,0.00009701169,0.00003860809,0.0002961358,0.9983532,0.0005697125],"study_design_scores_gemma":[0.000323455,0.00001806228,0.001146719,0.0003751884,0.00003090404,0.000026457,0.00006655033,0.0002647832,0.0002280339,0.001850992,0.9956321,0.00003661978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002508817,0.00005006285,0.00002712218,0.00007931732,0.00002851886,0.000004566164,0.9988009,0.0004088599,0.0005755682],"genre_scores_gemma":[0.0001788684,0.00005666474,0.0001181877,0.00009271264,0.00001313819,0.00004454756,0.9985317,0.0002049596,0.0007592444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6899243,"threshold_uncertainty_score":0.9840933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421697466040197,"score_gpt":0.2538929943728522,"score_spread":0.2296760197124503,"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."}}