{"id":"W2763621598","doi":"10.1111/oik.04758","title":"Density‐dependent habitat selection predicts fitness and abundance in a small lizard","year":2017,"lang":"en","type":"article","venue":"Oikos","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Oceanic and Atmospheric Administration","keywords":"Ectotherm; Habitat; Ecology; Biology; Abundance (ecology); Selection (genetic algorithm); Ecological trap; Density dependence; Competition (biology); Predation; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322567,0.00006715208,0.00008300863,0.000006258444,0.000316493,0.00009393186,0.00009722698,0.0000641837,0.00002965145],"category_scores_gemma":[0.00004407518,0.00002704325,0.00002054827,0.00003995417,0.00005507872,0.0001253821,0.00005308751,0.0000827681,0.00001095086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719444,"about_ca_system_score_gemma":0.000003056156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006942746,"about_ca_topic_score_gemma":0.01075386,"domain_scores_codex":[0.9994471,0.00002031111,0.00008158483,0.0002514863,0.00006957476,0.0001299455],"domain_scores_gemma":[0.9998099,0.00001136608,0.00005508092,0.00004951097,0.00003316293,0.00004103388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000261248,0.00003808244,0.747739,0.000004307335,0.000001370996,0.000005082326,0.0000411795,0.000001050828,0.2074357,0.00004157295,0.00004392109,0.04462266],"study_design_scores_gemma":[0.00009335105,0.0001163224,0.9902611,0.00001646035,0.00000497793,0.00002107128,0.00004530002,0.00002930729,0.008670981,0.0001518562,0.0005136379,0.0000756241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985846,0.0000591289,0.000003430933,0.0006537411,0.0001479523,0.0001162657,0.000002745822,0.00002837641,0.0004037424],"genre_scores_gemma":[0.998724,0.00004864972,0.00003095752,0.00002033173,0.0001869031,0.000009637993,0.000003631245,5.169823e-7,0.0009753586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425222,"threshold_uncertainty_score":0.6000904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984795841229111,"score_gpt":0.240872250619157,"score_spread":0.2110242922068659,"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."}}