{"id":"W3028501993","doi":"10.1111/ele.13513","title":"Response to technical comment ‘A cautionary note for users of linear diversification dependencies’","year":2020,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 European Research Council","keywords":"Diversification (marketing strategy); Computer science; Ecology; Econometrics; Data science; Economics; Biology; Business; Marketing","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":[0.02008308,0.00197907,0.002033954,0.001774526,0.004478127,0.00483758,0.00361936,0.0304139,0.04795191],"category_scores_gemma":[0.2068218,0.001565427,0.002449565,0.001499718,0.004549922,0.006269442,0.004633224,0.04359686,0.0579307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004376752,"about_ca_system_score_gemma":0.006170026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193682,"about_ca_topic_score_gemma":0.009045523,"domain_scores_codex":[0.9858403,0.004079483,0.002087587,0.001891148,0.004890578,0.00121099],"domain_scores_gemma":[0.8968692,0.05566439,0.007279085,0.003563979,0.0326229,0.004000442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001497241,0.000003478351,0.00005479873,0.00003770067,0.000003633452,0.00008147929,0.0001108367,0.00001842631,0.00006422238,0.0004027486,0.997937,0.001270772],"study_design_scores_gemma":[0.00003298182,0.00002480889,0.0005338431,0.0003179759,0.00001320318,0.0003254118,0.0003771098,0.0001963502,0.0003159817,0.002360369,0.9954314,0.00007049071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001596463,0.0003713792,0.001086953,0.9271405,0.06787024,0.00004226028,0.0005909883,0.0008185528,0.001919455],"genre_scores_gemma":[0.00130444,0.0002411687,0.0007361373,0.9670085,0.02149434,0.0001714098,0.0001469901,0.0005481647,0.008348854],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04795191,"threshold_uncertainty_score":0.1604151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893476412463594,"score_gpt":0.2497279616172058,"score_spread":0.2307931974925699,"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."}}