{"id":"W2910146384","doi":"10.1002/eap.1852","title":"Functional responses in habitat selection: clarifying hypotheses and interpretations","year":2019,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Ecology; Habitat; Selection (genetic algorithm); Biology; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03815861,0.001636352,0.001873059,0.003166754,0.0009734051,0.003797321,0.0052662,0.003680795,0.003627611],"category_scores_gemma":[0.05228097,0.0004756307,0.001669593,0.002350824,0.01199378,0.009432252,0.002770589,0.004713768,0.0005069326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238408,"about_ca_system_score_gemma":0.001423188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002264482,"about_ca_topic_score_gemma":0.001247113,"domain_scores_codex":[0.9912739,0.00559839,0.0007620184,0.001375249,0.0007790885,0.0002112703],"domain_scores_gemma":[0.9166123,0.07155661,0.005189278,0.003356595,0.002617258,0.000667937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003176164,0.0002857081,0.04956795,0.003563067,0.0004639981,0.001012018,0.004856766,0.04175348,0.00408659,0.7717485,0.002756579,0.1195877],"study_design_scores_gemma":[0.00003705677,0.0001700489,0.02334302,0.0008142749,0.0001181371,0.000237265,0.001931739,0.0657937,0.0008118352,0.8994707,0.007163693,0.0001084627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2554721,0.0424747,0.6022612,0.0763528,0.0009919096,0.0003444537,0.001068332,0.0004587482,0.02057575],"genre_scores_gemma":[0.9001745,0.01433975,0.07312153,0.008905367,0.001454749,0.0004113406,0.0005228911,0.000133648,0.0009361448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03815861,"threshold_uncertainty_score":0.2018045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017734799334639,"score_gpt":0.2321374622998881,"score_spread":0.2144026629652491,"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."}}