{"id":"W4398752422","doi":"10.7910/dvn/pkjufn/rxxbti","title":"FCC2002.108.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; 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":[0.001404044,0.003161109,0.001859968,0.004860152,0.001201589,0.004010259,0.00422262,0.003197227,0.1617715],"category_scores_gemma":[0.008073607,0.0009413101,0.001569151,0.008849793,0.0006798445,0.002431358,0.002436654,0.002038288,0.2341791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002184414,"about_ca_system_score_gemma":0.002647762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04790776,"about_ca_topic_score_gemma":0.07478306,"domain_scores_codex":[0.9986631,0.0002844375,0.0001251475,0.0003919725,0.0002667376,0.0002686387],"domain_scores_gemma":[0.9970474,0.0006647751,0.000227147,0.0008949921,0.0008229492,0.0003428041],"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":[0.00002850928,0.000008130013,0.0001449913,0.0002389916,0.00001319585,0.000006466894,0.000008042379,0.0001154247,0.00003318768,0.0002635226,0.9984504,0.0006891583],"study_design_scores_gemma":[0.0002387364,0.00002027852,0.001552669,0.0002912852,0.00002583216,0.00003454188,0.00006306368,0.000489645,0.0002672767,0.001332451,0.9956533,0.00003091129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005330601,0.00005502373,0.00003341966,0.00007168848,0.00003065579,0.000005009726,0.9983763,0.0005084287,0.0008661386],"genre_scores_gemma":[0.0002333521,0.00003855378,0.0001123602,0.00005385082,0.000009552326,0.00002696502,0.9987739,0.0001321342,0.000619309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382285,"threshold_uncertainty_score":0.5411796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488080949285362,"score_gpt":0.2531073848263181,"score_spread":0.2282265753334644,"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."}}