{"id":"W4398700935","doi":"10.7910/dvn/pkjufn/nplogg","title":"FCC2003.212.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":[0.0004291027,0.0009930283,0.001028488,0.000417413,0.000200313,0.0002996882,0.002644373,0.0006500661,0.2270195],"category_scores_gemma":[0.001434742,0.001058785,0.0003181026,0.0008001932,0.0002699655,0.0006103182,0.001601269,0.001468754,0.9955164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031129,"about_ca_system_score_gemma":0.0004800403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006913212,"about_ca_topic_score_gemma":0.0004123496,"domain_scores_codex":[0.9953102,0.0002952868,0.0007331723,0.001516719,0.001192518,0.000952107],"domain_scores_gemma":[0.9943483,0.0001303399,0.0005443675,0.004087974,0.0001441669,0.0007447766],"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":[0.0001910816,0.0001476494,0.000002036362,0.0002613223,0.0002663962,0.001325429,0.00002499181,0.000004063981,0.00009146134,0.00002517527,0.9975868,0.00007356585],"study_design_scores_gemma":[0.001075006,0.00008253333,0.00001133819,0.0001307932,0.0006142542,0.00006119075,0.00005687945,0.0000240686,0.00003761152,0.00001414721,0.9967893,0.001102845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001634797,8.069769e-7,0.00000983992,0.000006767115,0.001305944,0.0006496981,0.9967442,0.0004748092,0.0008063232],"genre_scores_gemma":[0.000001324104,0.0001981859,0.0004867828,0.001504082,0.001181157,0.00006154415,0.9958599,0.0002581007,0.0004488741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7684969,"threshold_uncertainty_score":0.9991862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473666959322243,"score_gpt":0.255156024270527,"score_spread":0.2304193546773045,"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."}}