{"id":"W6892010523","doi":"10.5063/f1rv0m1s","title":"A global database of chlorophyll and water chemistry in freshwater lakes","year":2020,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; York University","funders":"","keywords":"Water quality; Chlorophyll a; Geospatial analysis; Chlorophyll; Hydrology (agriculture); Water chemistry","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":[0.0007854964,0.00109264,0.00104003,0.003417408,0.000483055,0.001253121,0.001532598,0.0009531117,0.01702422],"category_scores_gemma":[0.003334802,0.0004619763,0.0008180177,0.009094009,0.0002214098,0.001063359,0.001528743,0.0008220992,0.01417409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415945,"about_ca_system_score_gemma":0.001917409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03487049,"about_ca_topic_score_gemma":0.04140907,"domain_scores_codex":[0.9993228,0.0001063451,0.0001472335,0.0001947479,0.0001519507,0.00007695142],"domain_scores_gemma":[0.9986519,0.0002376347,0.0002283513,0.0001893634,0.0005673199,0.0001254926],"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":[0.0001543933,0.00003834875,0.009226047,0.001899609,0.0001573692,0.00008523154,0.00007311066,0.001210409,0.000456759,0.001442784,0.9749823,0.01027362],"study_design_scores_gemma":[0.0002512891,0.00002072562,0.03412316,0.0004904864,0.00007662392,0.00009913699,0.0001361124,0.001024979,0.0005192851,0.001396134,0.9618112,0.00005083007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004224626,0.0000895502,0.00007657305,0.00004714983,0.000006543113,0.000008921175,0.9988658,0.0000990209,0.0003838998],"genre_scores_gemma":[0.001024023,0.0001010329,0.0004712832,0.00004026425,0.000004610865,0.00008399893,0.9979889,0.0000242348,0.0002617651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03487049,"threshold_uncertainty_score":0.06933504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211795898130515,"score_gpt":0.2487635330259735,"score_spread":0.2366455740446683,"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."}}