{"id":"W4398441589","doi":"10.7910/dvn/pkjufn/emyr27","title":"FCC2003.158.ran","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":"Ran; Computer science; Geography; Geology; Computer network","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":[],"category_scores_codex":[0.001402778,0.003257572,0.001853394,0.004876517,0.001192924,0.004044367,0.004166139,0.003245027,0.1781712],"category_scores_gemma":[0.008029837,0.0009972038,0.001628147,0.008511066,0.0007014645,0.00242124,0.002584593,0.002067202,0.2582269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002144006,"about_ca_system_score_gemma":0.002667779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04288714,"about_ca_topic_score_gemma":0.06552174,"domain_scores_codex":[0.9986419,0.0002811523,0.0001341898,0.0004037547,0.000264284,0.0002747049],"domain_scores_gemma":[0.9969709,0.0006807983,0.000230832,0.0009331807,0.0008344477,0.0003498305],"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":[0.00003063028,0.000008282057,0.0001365143,0.0002448433,0.00001313039,0.000006320674,0.000008462628,0.0001090847,0.00003797507,0.0002689368,0.9984894,0.0006463244],"study_design_scores_gemma":[0.000274657,0.00002062518,0.001492059,0.0002803964,0.0000251775,0.00003377274,0.00006464062,0.000450596,0.0002921554,0.001416838,0.995617,0.00003201505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004638567,0.00004204022,0.00003119704,0.00006145724,0.00002731915,0.000004722048,0.9985282,0.0004812203,0.0007773404],"genre_scores_gemma":[0.0002112293,0.00003423391,0.0001114061,0.00005197178,0.000008899535,0.00002743523,0.9987862,0.0001448048,0.0006237723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8218288,"threshold_uncertainty_score":0.5960421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}