{"id":"W6939441861","doi":"10.6084/m9.figshare.16779445.v1","title":"Additional file 1 of Post-fire movements of Pacific marten (Martes caurina) depend on the severity of landscape change","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Marten; Table (database); Habitat; Canopy; Range (aeronautics); Geocoding","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":[0.0007177048,0.0007052893,0.0007203179,0.001727127,0.0008250429,0.001030108,0.001578915,0.0007414988,0.7646101],"category_scores_gemma":[0.009799383,0.0003431624,0.0004981526,0.003319161,0.0001489425,0.001328706,0.0008414207,0.000549386,0.120386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944563,"about_ca_system_score_gemma":0.001109448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02906106,"about_ca_topic_score_gemma":0.05723402,"domain_scores_codex":[0.9996716,0.00004103414,0.00005143218,0.00009701611,0.00007313528,0.00006576231],"domain_scores_gemma":[0.9951915,0.002754164,0.0005088078,0.000411808,0.0008963387,0.0002375104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001277944,0.00006675697,0.008371419,0.00117323,0.00002733677,0.00006195999,0.0001021095,0.0003251541,0.00008069447,0.0003416444,0.9819109,0.007411073],"study_design_scores_gemma":[0.001793626,0.0001857182,0.1605434,0.002416153,0.0001217887,0.0004312603,0.001449078,0.002664204,0.000763935,0.004119283,0.8253883,0.0001231996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002896512,0.000006131213,0.00007420767,0.00002860961,0.000006403,0.0000220967,0.9989412,0.00009964833,0.0005319968],"genre_scores_gemma":[0.008299204,0.00005639154,0.001847072,0.0001507166,0.00002759648,0.0008293262,0.9822451,0.0003502933,0.006194297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7646101,"threshold_uncertainty_score":0.3357551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791886325317225,"score_gpt":0.1946710692924687,"score_spread":0.1767522060392964,"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."}}