{"id":"W2275660507","doi":"10.1371/journal.pone.0118720.t003","title":"Final models comparing predicted home range occurrence of the American marten (<i>Martes americana</i>) relative to different definitions of linear feature density in northwest Canada.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marten; Range (aeronautics); Geography; Feature (linguistics); Statistics; Ecology; Biology; Mathematics; Habitat; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002815912,0.002167711,0.001102283,0.001575784,0.00118841,0.001778631,0.005019635,0.001192423,0.0825146],"category_scores_gemma":[0.00705024,0.001080221,0.003266375,0.001439241,0.0005040786,0.001659301,0.001375418,0.003022574,0.01813322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005287259,"about_ca_system_score_gemma":0.006912147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8462756,"about_ca_topic_score_gemma":0.8493573,"domain_scores_codex":[0.9989201,0.0003530782,0.00004500802,0.0003151013,0.0001512756,0.0002154885],"domain_scores_gemma":[0.9954966,0.001935506,0.0002525435,0.0001899019,0.001659987,0.0004654121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00136058,0.0002622094,0.1153412,0.0004614547,0.002101814,0.0003070738,0.0002953993,0.07895625,0.0006724629,0.003843551,0.7737607,0.02263734],"study_design_scores_gemma":[0.003080739,0.0007040756,0.2799575,0.001404347,0.005517761,0.0005255069,0.003819359,0.3530239,0.002840082,0.01344956,0.3351227,0.0005544545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1730177,0.002437827,0.02237148,0.007849663,0.003080772,0.0005381893,0.7270326,0.006588021,0.05708385],"genre_scores_gemma":[0.4682344,0.000789238,0.013758,0.001423326,0.000372249,0.0007719588,0.3749701,0.004124799,0.1355559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1537244,"threshold_uncertainty_score":0.3092594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04986108156096102,"score_gpt":0.2318094048567249,"score_spread":0.1819483232957639,"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."}}