{"id":"W6948531698","doi":"10.5061/dryad.nvx0k6f2v","title":"Global variation in zooplankton niche divergence across ocean basins","year":2025,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Simons Foundation","keywords":"Niche; Ecological niche; Adaptation (eye); Divergence (linguistics); Zooplankton; Population; Macroecology; Niche differentiation; Climate change","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":[0.001192762,0.0007848873,0.0005889458,0.001260646,0.0004912072,0.001038493,0.001652726,0.0008127444,0.01212364],"category_scores_gemma":[0.003075536,0.0004852159,0.0009153691,0.002445284,0.0003053903,0.0005953852,0.001053007,0.001035436,0.007331188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073412,"about_ca_system_score_gemma":0.0007823629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04252831,"about_ca_topic_score_gemma":0.06800777,"domain_scores_codex":[0.9996377,0.00008750231,0.0000334336,0.0001482078,0.00005278497,0.00004031916],"domain_scores_gemma":[0.9991,0.0003320596,0.0001302669,0.000208755,0.000153348,0.00007555638],"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":[0.0004128578,0.0001551053,0.07799073,0.001757857,0.0007230529,0.0002445628,0.0004154982,0.04224142,0.001173322,0.003392302,0.8534532,0.01804011],"study_design_scores_gemma":[0.001738411,0.0001203795,0.2149533,0.0004573408,0.0002191838,0.0003567781,0.0006731928,0.04578744,0.001491127,0.005789665,0.7282576,0.0001555438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01681975,0.0001160511,0.0004159079,0.0001446675,0.00002495828,0.00001689131,0.9809622,0.000441265,0.001058312],"genre_scores_gemma":[0.01961881,0.00006017667,0.001586647,0.00005266432,0.000006425201,0.0001078759,0.977806,0.00007732035,0.0006841444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04252831,"threshold_uncertainty_score":0.08456153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478695282333078,"score_gpt":0.282351874498181,"score_spread":0.2675649216748502,"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."}}