{"id":"W4398381365","doi":"10.7910/dvn/pkjufn/f7tjr5","title":"FCC2003.159.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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004249815,0.0009906197,0.001022323,0.0004132257,0.0001988115,0.0002996616,0.002634695,0.0006505034,0.2230888],"category_scores_gemma":[0.001380028,0.001056518,0.0003128202,0.0008105049,0.0002536804,0.0006095215,0.001569298,0.001471534,0.9955446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048045,"about_ca_system_score_gemma":0.0004292495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005759267,"about_ca_topic_score_gemma":0.0003304098,"domain_scores_codex":[0.9952923,0.0002981614,0.0007319867,0.001516185,0.001212437,0.0009489508],"domain_scores_gemma":[0.9943541,0.0001279311,0.0005447176,0.004089534,0.000141588,0.000742095],"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":[0.0001974971,0.0001484401,0.00000198781,0.0002486531,0.00023118,0.001316618,0.00002416191,0.00000344214,0.0001009935,0.00002596454,0.9976138,0.00008722269],"study_design_scores_gemma":[0.001080691,0.00008594796,0.00001117245,0.0001485955,0.0006134888,0.00005901426,0.00005798408,0.0000222638,0.00003888462,0.00001344411,0.9967672,0.001101325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000173856,8.090283e-7,0.000009245875,0.000006745731,0.001318403,0.0006465776,0.9967948,0.0004737943,0.0007479012],"genre_scores_gemma":[0.000001396203,0.0002032371,0.0004293609,0.001471875,0.001193411,0.00006149938,0.995949,0.0002576344,0.0004326187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7724558,"threshold_uncertainty_score":0.9991885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472265176177602,"score_gpt":0.2551637081638219,"score_spread":0.2304410564020459,"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."}}