{"id":"W4398729582","doi":"10.7910/dvn/pkjufn/g6nxrf","title":"FCC2003.079.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":[0.000417878,0.0009923987,0.0010277,0.0004182601,0.0002001364,0.0003000827,0.002646982,0.0006501604,0.2278056],"category_scores_gemma":[0.001390141,0.001057748,0.0003179263,0.000817924,0.0002706385,0.0006009937,0.001601176,0.00146991,0.9960361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122393,"about_ca_system_score_gemma":0.000483219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006803036,"about_ca_topic_score_gemma":0.0004024365,"domain_scores_codex":[0.9952822,0.0002989433,0.0007342703,0.001514976,0.001216602,0.000953007],"domain_scores_gemma":[0.9943431,0.0001305678,0.0005456423,0.004093882,0.0001417385,0.0007450906],"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":[0.0001937743,0.0001457993,0.000002069496,0.0002584681,0.0002649851,0.001310929,0.00002509051,0.000003697467,0.00009111669,0.00002582026,0.9976152,0.00006307652],"study_design_scores_gemma":[0.001080965,0.00008234314,0.0000122996,0.0001294654,0.0006110091,0.0000608311,0.00005748984,0.00002078676,0.00003771506,0.00001369185,0.9967902,0.001103221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001592369,7.987911e-7,0.000008694858,0.000006717435,0.001311519,0.0006722867,0.9967026,0.0004578579,0.000837928],"genre_scores_gemma":[0.000001411063,0.00020646,0.0004464121,0.001495532,0.001182817,0.00006383771,0.995913,0.0002574298,0.0004331044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7682304,"threshold_uncertainty_score":0.9991873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473253945859034,"score_gpt":0.2551179467953728,"score_spread":0.2303854073367824,"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."}}