{"id":"W4398334485","doi":"10.7910/dvn/pkjufn/gw4rwl","title":"FCC2001.067.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Wireless Sensor Networks and IoT","field":"Engineering","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":[0.001013142,0.003194901,0.001642353,0.003777062,0.001092812,0.003187494,0.003782014,0.002965728,0.09439798],"category_scores_gemma":[0.005871241,0.0007407999,0.001691327,0.006592005,0.0005424406,0.001793198,0.002045355,0.001716588,0.1645616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661969,"about_ca_system_score_gemma":0.002260585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04012989,"about_ca_topic_score_gemma":0.06460793,"domain_scores_codex":[0.9988728,0.0001701131,0.0001157038,0.0003250967,0.0002466776,0.0002694933],"domain_scores_gemma":[0.9977185,0.0004379546,0.0001836622,0.0006786308,0.0006700513,0.0003112316],"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":[0.00004406278,0.00001074623,0.0002466225,0.0002296833,0.00001312931,0.000009043453,0.000006637491,0.0002065243,0.00004181224,0.0002100815,0.9979392,0.00104251],"study_design_scores_gemma":[0.0003724104,0.00003499098,0.003042,0.0002826009,0.00003307484,0.00005655312,0.00007978494,0.00112075,0.0003580329,0.001636335,0.9929455,0.00003810487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008120052,0.0000524368,0.0000347259,0.00006735299,0.00003401403,0.000006172649,0.9985647,0.0004300313,0.0007293367],"genre_scores_gemma":[0.0003188659,0.00004142481,0.0001133803,0.00004713807,0.00001178697,0.00002468154,0.9988624,0.000066534,0.0005137702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.905602,"threshold_uncertainty_score":0.3157927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118495727525685,"score_gpt":0.1999503156488169,"score_spread":0.1881007428962485,"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."}}