{"id":"W2756798011","doi":"10.1111/ecog.03187","title":"Hypervolume concepts in niche‐ and trait‐based ecology","year":2017,"lang":"en","type":"article","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":391,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK; McGill University","keywords":"Operationalization; Ecology; Ecological niche; Trait; Niche; Set (abstract data type); Environmental niche modelling; Evolutionary ecology; Resource (disambiguation); Computer science; Biology; Epistemology; Habitat","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006430286,0.001010748,0.001057961,0.005738226,0.001234847,0.005692216,0.001610288,0.001671201,0.003244819],"category_scores_gemma":[0.01635714,0.0004948874,0.001517922,0.005762612,0.009533498,0.008779556,0.003424469,0.00388285,0.0005427297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238233,"about_ca_system_score_gemma":0.001028592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997831,"about_ca_topic_score_gemma":0.001228979,"domain_scores_codex":[0.9973845,0.001596506,0.0001234679,0.0003337907,0.0004618733,0.00009988587],"domain_scores_gemma":[0.9863305,0.0112798,0.00074466,0.000697288,0.0005665523,0.0003812544],"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":[0.000005041522,0.000005385314,0.0003926769,0.00004656916,0.00001379368,0.00001603691,0.0001651253,0.005459195,0.0001024801,0.9804536,0.0007283846,0.01261185],"study_design_scores_gemma":[0.000001933749,0.000004414954,0.0002703199,0.00002573498,0.000003386755,0.0000262392,0.00003432736,0.01050533,0.00004437776,0.984303,0.00477169,0.000009187104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01198117,0.0178745,0.9466524,0.002886647,0.0003135245,0.00006206497,0.0002269993,0.0001748245,0.0198278],"genre_scores_gemma":[0.530849,0.02011705,0.4346583,0.001776679,0.003015531,0.0008670227,0.0005763231,0.0003727649,0.007767255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006430286,"threshold_uncertainty_score":0.03400701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239632326306919,"score_gpt":0.2728862154103926,"score_spread":0.2504898921473234,"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."}}