{"id":"W4398365415","doi":"10.7910/dvn/pkjufn/olf5ux","title":"FCC2001.041.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001527489,0.003110865,0.001794704,0.005046487,0.001188029,0.00372138,0.004239296,0.003072317,0.1761307],"category_scores_gemma":[0.009884353,0.0009766658,0.001558613,0.007683745,0.0006924081,0.002294113,0.002519627,0.002058867,0.2280364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145053,"about_ca_system_score_gemma":0.002730951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04709895,"about_ca_topic_score_gemma":0.07185894,"domain_scores_codex":[0.9986406,0.0002826418,0.0001183504,0.000417917,0.0002727207,0.0002678006],"domain_scores_gemma":[0.9963422,0.0009120563,0.0002693617,0.001058493,0.0009911879,0.0004266055],"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":[0.00002646114,0.000006641113,0.0001459179,0.0002028354,0.00001237073,0.000005034136,0.000007321259,0.000119885,0.00002637208,0.0002456027,0.9985647,0.0006368119],"study_design_scores_gemma":[0.0002929797,0.00002076037,0.001710395,0.0002935058,0.0000292527,0.00003235892,0.00006714465,0.0006203266,0.0002719815,0.001843431,0.9947823,0.00003555281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004915355,0.00004510084,0.0000346732,0.00008025738,0.00003127743,0.000004827798,0.9986109,0.0004798673,0.0006640056],"genre_scores_gemma":[0.0002685548,0.00003893962,0.0001362203,0.00006447749,0.0000130999,0.00003190227,0.9985643,0.0001629226,0.0007196786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8238693,"threshold_uncertainty_score":0.5892159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484661320769378,"score_gpt":0.2556789123796845,"score_spread":0.2308322991719908,"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."}}