{"id":"W4398592973","doi":"10.7910/dvn/pkjufn/7jc2lk","title":"FCC2003.339.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":[0.0004302126,0.0009919604,0.001027727,0.0004173692,0.0002005982,0.0003066454,0.002646545,0.0006490162,0.2310886],"category_scores_gemma":[0.001409646,0.001057644,0.0003178958,0.0008157801,0.0002701646,0.0006241315,0.00160318,0.001470822,0.995573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139705,"about_ca_system_score_gemma":0.0004890409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006734989,"about_ca_topic_score_gemma":0.0003968117,"domain_scores_codex":[0.9952835,0.0002995216,0.0007342186,0.001515063,0.001214839,0.0009528308],"domain_scores_gemma":[0.9943433,0.0001312872,0.0005451388,0.004093532,0.0001417597,0.0007449688],"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":[0.0001914053,0.0001478567,0.000002065117,0.0002585382,0.0002648852,0.00131673,0.00002526342,0.000003680023,0.00009057954,0.0000258421,0.9976055,0.00006762442],"study_design_scores_gemma":[0.001078587,0.00008317887,0.00001171065,0.0001294426,0.000611397,0.00006082431,0.00005716773,0.0000210667,0.00003748021,0.00001385445,0.9967927,0.00110259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001675171,8.365404e-7,0.000009135395,0.000006712952,0.001307256,0.000649182,0.9967347,0.0004747141,0.0008157608],"genre_scores_gemma":[0.000001355326,0.0002117435,0.0004544615,0.001483541,0.001196644,0.00006153997,0.9958856,0.0002574643,0.0004477249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7644844,"threshold_uncertainty_score":0.9991874,"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."}}