{"id":"W4398401726","doi":"10.7910/dvn/pkjufn/ehmtx3","title":"FCC2001.255.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Range (aeronautics); Earth's magnetic field; Meteorology; Atmospheric sciences; Geomagnetic latitude; Environmental science; Remote sensing; Physics; Geography; Magnetic field; Materials science","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":[0.001314863,0.00241967,0.001652554,0.003562138,0.000718105,0.002923225,0.003671178,0.00259308,0.1443014],"category_scores_gemma":[0.007886349,0.0009058909,0.001470183,0.006517576,0.0004895411,0.001440707,0.001862028,0.001607869,0.164292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764233,"about_ca_system_score_gemma":0.002070083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03342205,"about_ca_topic_score_gemma":0.04350398,"domain_scores_codex":[0.9990515,0.0002285866,0.0001060976,0.0002784336,0.0001703343,0.0001650244],"domain_scores_gemma":[0.9977105,0.0006667861,0.0002350614,0.0005955251,0.0004764474,0.0003157708],"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":[0.00004657181,0.00000894805,0.0003182718,0.0002906148,0.00002145676,0.000007242309,0.000006683953,0.0002046726,0.00002496445,0.0002836057,0.9978119,0.0009750712],"study_design_scores_gemma":[0.0005498425,0.0000275488,0.00260413,0.0003921979,0.00004257225,0.0000517202,0.00004199272,0.0009912064,0.0002383117,0.002036274,0.9929925,0.00003166218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005226126,0.00005628464,0.00003445756,0.00007571824,0.00002192118,0.000004979991,0.9987388,0.0003510446,0.0006646295],"genre_scores_gemma":[0.0003762058,0.00005950574,0.0001377877,0.00009433856,0.00001337647,0.00003643338,0.9985506,0.000105005,0.0006266343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8556986,"threshold_uncertainty_score":0.4827362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976153797269264,"score_gpt":0.2759116896298448,"score_spread":0.2561501516571522,"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."}}