{"id":"W6948398533","doi":"10.5061/dryad.0zpc86702","title":"Dispersal without drivers: Intrinsic and extrinsic variables have no impact on movement distances in a terrestrial amphibian","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Movement (music); Foraging; Biological dispersal; Population; Shore; Variation (astronomy); Forage; Dispersion (optics); Sampling (signal processing); Variance (accounting)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210489,0.0003771977,0.0005588516,0.0005076228,0.0006074726,0.001049387,0.0006268337,0.0005146141,0.001718899],"category_scores_gemma":[0.009644163,0.0002950038,0.0009938395,0.0004645151,0.001130737,0.00122265,0.001024598,0.0006454404,0.0001497738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007820838,"about_ca_system_score_gemma":0.0007768128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01706742,"about_ca_topic_score_gemma":0.03020336,"domain_scores_codex":[0.9985521,0.0003992707,0.0001211627,0.0006082194,0.0001970266,0.0001221915],"domain_scores_gemma":[0.9937387,0.003140406,0.001481346,0.0008495353,0.0003744822,0.0004156002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002606736,0.00003363272,0.9856092,0.00007796511,0.0005391503,0.0001518,0.0002455211,0.001698794,0.002965917,0.0006138614,0.0001145616,0.007688848],"study_design_scores_gemma":[0.000007706621,0.00008881386,0.9937589,0.00001035142,0.0001589002,0.0000922109,0.0001196664,0.004953689,0.0002090922,0.0002802866,0.0003077425,0.00001262576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9975522,0.0001830315,0.001505566,0.00007513226,0.00000596287,0.000008208499,0.0001861935,0.0000148378,0.0004688381],"genre_scores_gemma":[0.9990355,0.00003659238,0.0004974725,0.00001894631,0.000005507836,0.000006720853,0.0001629153,0.000008706776,0.0002276587],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01706742,"threshold_uncertainty_score":0.0339362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711869234412776,"score_gpt":0.2221255236883625,"score_spread":0.1850068313442347,"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."}}