{"id":"W4394314609","doi":"10.6084/m9.figshare.8813564.v1","title":"Data for Siracusa et al. - \"Familiar neighbours, but not relatives, enhance fitness in a territorial mammal\"","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mammal; Geography; Genealogy; Humanities; Ecology; Biology; History; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001861545,0.001187062,0.001364989,0.002862319,0.0008771134,0.001967628,0.002469358,0.001874281,0.1754277],"category_scores_gemma":[0.0192668,0.0007532964,0.001705232,0.005586941,0.0003550688,0.001598081,0.002159574,0.001275242,0.06726702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223864,"about_ca_system_score_gemma":0.002786247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05453668,"about_ca_topic_score_gemma":0.1133927,"domain_scores_codex":[0.9984289,0.0002950957,0.0002996153,0.000340296,0.0004361583,0.0001999366],"domain_scores_gemma":[0.9901832,0.003735301,0.001162761,0.001408038,0.002944002,0.0005666565],"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":[0.0000685667,0.000009879044,0.001062049,0.0016242,0.00006380085,0.000008932109,0.00002826063,0.00008871787,0.00005000618,0.0004675039,0.9950706,0.00145759],"study_design_scores_gemma":[0.0005784811,0.00001519808,0.01261217,0.001355865,0.0001655068,0.00003526866,0.00008552188,0.000139612,0.0001540726,0.001357896,0.9834615,0.00003892193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004965743,0.00005061342,0.00002866933,0.00004672711,0.00001924252,0.00001030776,0.998998,0.00004769214,0.0007491201],"genre_scores_gemma":[0.000986762,0.0001181357,0.0004151406,0.0001803422,0.00001656929,0.0002532391,0.9957662,0.0001174181,0.002146216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1754277,"threshold_uncertainty_score":0.5868642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262800770725801,"score_gpt":0.2997947729224533,"score_spread":0.2471667652151953,"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."}}