{"id":"W4311705556","doi":"10.7717/peerj.13649","title":"N-mixture model-based estimate of relative abundance of sloth bear (<i>Melursus ursinus</i>) in response to biotic and abiotic factors in a human-dominated landscape of central India","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Abundance (ecology); Sloth; Ecology; Poisson distribution; Null model; Relative species abundance; Akaike information criterion; Abiotic component; Abundance estimation; Environmental science; Geography; Physical geography; Biology; Statistics; Mathematics","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":[0.001934079,0.0005089115,0.0005263863,0.001047989,0.0003165642,0.0006028346,0.0008979342,0.0004032066,0.0005947021],"category_scores_gemma":[0.003424607,0.0003274756,0.001068364,0.0004298183,0.0003779718,0.0007572739,0.0005732305,0.0004473707,0.0001890098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006062597,"about_ca_system_score_gemma":0.0004775365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01745478,"about_ca_topic_score_gemma":0.01395345,"domain_scores_codex":[0.9993907,0.0002760061,0.00002911889,0.0001904597,0.00005919194,0.00005451499],"domain_scores_gemma":[0.9982962,0.001096578,0.0002644112,0.0001192689,0.0001548351,0.00006874504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006538639,0.0003275789,0.4092665,0.0001142215,0.0006364298,0.0002463173,0.0005513116,0.537968,0.004825175,0.002861754,0.0008401967,0.04170851],"study_design_scores_gemma":[0.00001182255,0.00007807476,0.06113418,0.000009522997,0.00005904846,0.00008488152,0.0001317883,0.937068,0.0004000183,0.0008371595,0.0001584455,0.00002716863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653807,0.0001191127,0.03367064,0.00008094807,0.000008461037,0.00002538494,0.0001831081,0.0001115564,0.0004200698],"genre_scores_gemma":[0.9921159,0.00004555946,0.006998403,0.00001224737,0.000006636557,0.00002058593,0.0004917478,0.00001185924,0.0002970694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01745478,"threshold_uncertainty_score":0.03470635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007592005380966312,"score_gpt":0.2346563683334642,"score_spread":0.2270643629524979,"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."}}