{"id":"W2184268759","doi":"10.1080/11956860.2001.11682652","title":"Simplifying the complexity of temporal diversity dynamics: A differentiation approach","year":2001,"lang":"en","type":"article","venue":"Ecoscience","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Species richness; Ecology; Gamma diversity; Habitat; Invertebrate; Diversity (politics); Dynamics (music); Diversity index; Biodiversity; Temporal scales; Species diversity; Beta diversity; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005771822,0.00004970711,0.00008190178,0.0000380435,0.0006534332,0.00001400056,0.0004327904,0.00003756228,0.0007140139],"category_scores_gemma":[0.00005978166,0.00003097429,0.00002726439,0.0002275356,0.0007969128,0.0001145747,0.0001197941,0.0001071075,0.00003371527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005106373,"about_ca_system_score_gemma":0.00002165001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003335103,"about_ca_topic_score_gemma":0.01254038,"domain_scores_codex":[0.9993044,0.00009503457,0.00009316696,0.0001613865,0.000139088,0.0002069793],"domain_scores_gemma":[0.9996566,0.00008934089,0.00005549876,0.0001321931,0.00002374929,0.00004259971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001435538,0.00001473329,0.9964468,0.000003551715,0.000002597179,8.020316e-7,0.0000663423,0.0000994619,0.000002660218,0.0005947461,0.00003122276,0.002722671],"study_design_scores_gemma":[0.00005314817,0.00003584693,0.835229,6.351106e-7,0.000001843043,0.000006868082,0.0001099097,0.1617467,0.000003227939,0.002738415,0.00004137805,0.00003300979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878508,0.0000173927,0.00135806,0.0003545412,0.0001158599,0.00009572856,0.0000126502,0.00001146507,0.01018352],"genre_scores_gemma":[0.9994238,0.00001259919,0.0002287094,0.00006129367,0.00001859362,4.262828e-7,0.00004639274,4.049017e-7,0.0002077694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1616472,"threshold_uncertainty_score":0.7817952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07963746526918218,"score_gpt":0.2535566849026417,"score_spread":0.1739192196334595,"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."}}