{"id":"W4398703273","doi":"10.7910/dvn/phwtp6/efnw8g","title":"blc20160721_03.txt","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":[0.001759026,0.003883473,0.002729267,0.005872416,0.001431219,0.005447911,0.005703052,0.004010181,0.3490812],"category_scores_gemma":[0.01149656,0.001360754,0.002005692,0.01091788,0.0009173658,0.003391939,0.003985426,0.002786278,0.4091226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250893,"about_ca_system_score_gemma":0.00327674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03833397,"about_ca_topic_score_gemma":0.05809648,"domain_scores_codex":[0.9984268,0.0003074749,0.0001471184,0.000478452,0.0003060513,0.000334142],"domain_scores_gemma":[0.9957772,0.001295501,0.0003390287,0.001025653,0.001046081,0.0005165419],"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":[0.00002496391,0.000005801546,0.0001005872,0.0003461496,0.00001428543,0.00000460298,0.000008873965,0.00008822361,0.00002762984,0.0002510449,0.9985918,0.0005359342],"study_design_scores_gemma":[0.0002952468,0.00001715451,0.001093275,0.0003759677,0.00002873695,0.00002496259,0.00005725564,0.0002916683,0.0002023622,0.001926945,0.9956494,0.00003702856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002086115,0.00004422425,0.00002649019,0.00007681201,0.00002672421,0.000004585428,0.9988202,0.0004094182,0.0005706001],"genre_scores_gemma":[0.0001572649,0.00005213182,0.0001120608,0.00008385224,0.00001353678,0.00004386085,0.9985527,0.0002191658,0.0007653916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6509187,"threshold_uncertainty_score":0.9284566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445348321244237,"score_gpt":0.2535852394322757,"score_spread":0.2291317562198333,"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."}}