{"id":"W4398601168","doi":"10.7910/dvn/pkjufn/ho7ram","title":"FCC2002.251.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Environmental science; 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":[0.001161768,0.003553335,0.001742793,0.004183467,0.001221149,0.00348405,0.003981733,0.003138915,0.09332816],"category_scores_gemma":[0.005278564,0.0008657776,0.001653246,0.006512847,0.0006166791,0.001975954,0.002281009,0.002023968,0.1875279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711409,"about_ca_system_score_gemma":0.002223109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03397482,"about_ca_topic_score_gemma":0.05304619,"domain_scores_codex":[0.9987481,0.0002197391,0.0001198049,0.0003925987,0.0002523611,0.0002674014],"domain_scores_gemma":[0.9979256,0.0003848676,0.0001622306,0.0007220053,0.0005418741,0.0002632967],"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":[0.00004401947,0.00001585815,0.0002324,0.0002389125,0.0000171406,0.00001069265,0.000008619108,0.0002043736,0.00006211127,0.0002821598,0.9979894,0.0008944083],"study_design_scores_gemma":[0.0003342495,0.00003460617,0.002601715,0.000285489,0.00003276012,0.0000606397,0.00008102519,0.000982523,0.0004434482,0.001505741,0.9935977,0.00004021034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008738012,0.00004596588,0.00004224754,0.0000465212,0.00003489248,0.000005820951,0.9983618,0.000573372,0.0008019769],"genre_scores_gemma":[0.0002329016,0.00002587988,0.0001065238,0.00003132959,0.000007241303,0.00001977605,0.9990909,0.00007117785,0.0004143259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9066718,"threshold_uncertainty_score":0.3122138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"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."}}