{"id":"W4398650988","doi":"10.7910/dvn/pkjufn/qexlgp","title":"FCC2001.184.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":[0.001411275,0.003063489,0.001799472,0.005165709,0.001188531,0.003920801,0.004060911,0.003088043,0.1797584],"category_scores_gemma":[0.008856006,0.0009741176,0.001490883,0.008633013,0.0007214452,0.002312904,0.00248582,0.002032347,0.2470412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201442,"about_ca_system_score_gemma":0.002723154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04418686,"about_ca_topic_score_gemma":0.06482291,"domain_scores_codex":[0.9986993,0.0002694449,0.0001181041,0.0003994732,0.0002590846,0.0002546168],"domain_scores_gemma":[0.9967911,0.0007769126,0.0002532127,0.0009523194,0.0008442983,0.0003821702],"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":[0.00002730251,0.0000069878,0.0001416223,0.0002240018,0.00001199184,0.000005421067,0.000007611539,0.0001112235,0.00002848721,0.0002485506,0.9985322,0.0006546653],"study_design_scores_gemma":[0.0002548301,0.00002009671,0.001614729,0.0002900111,0.00002589723,0.00003234979,0.00006292395,0.0004962818,0.0002539553,0.001497602,0.9954199,0.00003151568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004958364,0.00005110371,0.00003202417,0.00007142959,0.00002958153,0.000004716404,0.9985871,0.0004483503,0.0007261598],"genre_scores_gemma":[0.0002495555,0.00004258652,0.0001139255,0.00006090268,0.00001124045,0.00003063159,0.9986426,0.0001453566,0.0007030861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8202416,"threshold_uncertainty_score":0.6013518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248418356689699,"score_gpt":0.2556183390267429,"score_spread":0.2307765033577729,"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."}}