{"id":"W4398399724","doi":"10.7910/dvn/5kl1nq/yozerg","title":"carabidspecies2008mastersheet_Dataverse.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta","funders":"","keywords":"Biodiversity; Geography; Transmission (telecommunications); Line (geometry); Telecommunications; Engineering; Ecology; Biology","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":["insufficient_payload"],"category_scores_codex":[0.0009471718,0.00253224,0.001724422,0.004749607,0.0008733406,0.003578406,0.003090564,0.002157411,0.3254379],"category_scores_gemma":[0.006062211,0.001270802,0.001238281,0.00793516,0.0005054322,0.002229701,0.002471098,0.001731999,0.2536199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780818,"about_ca_system_score_gemma":0.002357425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02468407,"about_ca_topic_score_gemma":0.030881,"domain_scores_codex":[0.9993016,0.00009181497,0.000076053,0.0002121125,0.0001650197,0.000153503],"domain_scores_gemma":[0.9978326,0.000768745,0.0002011613,0.0005212053,0.0003790215,0.0002972785],"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":[0.00004067857,0.000009367249,0.000354365,0.0006143799,0.00002313822,0.00001199102,0.00002313337,0.0001235247,0.00006790493,0.0005569606,0.9968387,0.001335896],"study_design_scores_gemma":[0.0002070472,0.00000656519,0.001329194,0.000217109,0.00002168769,0.00002541872,0.000033362,0.0001722884,0.0002612441,0.00106194,0.9966421,0.0000220234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003561092,0.00003371316,0.00003400682,0.00003491967,0.00001082852,0.000004655104,0.9985521,0.000456269,0.000837783],"genre_scores_gemma":[0.0004712623,0.00008388441,0.0001730981,0.0000729715,0.000009014383,0.00006541734,0.9975108,0.0005114989,0.001101998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6745621,"threshold_uncertainty_score":0.962181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279683836677656,"score_gpt":0.2085886611962931,"score_spread":0.1806202775285275,"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."}}