{"id":"W6977707338","doi":"10.6084/m9.figshare.26667169","title":"Additional file 2 of Phytoplankton ecology in the early years of a boreal oil sands end pit lake","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Oil sands; Boreal; Phytoplankton; Hydrology (agriculture); Taiga; Dominance (genetics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001702111,0.000145126,0.0003109787,0.000166381,0.000006548446,0.000008056303,0.0003471577,0.0002015206,0.9574865],"category_scores_gemma":[0.0004856695,0.0001262759,0.0001174112,0.0003218319,0.00001523729,0.00003581038,0.00007154202,0.0004061709,0.001308852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002549387,"about_ca_system_score_gemma":0.00003188617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001065407,"about_ca_topic_score_gemma":0.0005357333,"domain_scores_codex":[0.9992449,0.0000209174,0.0002519538,0.0001528754,0.000187748,0.00014164],"domain_scores_gemma":[0.9986876,0.0009100098,0.00008633129,0.0002671446,0.00002861124,0.00002027528],"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":[0.000001845591,0.00001640704,1.358536e-7,0.0003973497,0.00003569834,0.00003861237,0.000009360548,0.00003902451,4.023454e-7,1.966277e-7,0.9979835,0.00147743],"study_design_scores_gemma":[0.00002799115,0.00003668161,0.0006442817,0.001389966,0.00001678558,0.000003876684,0.000002966771,0.0000489782,0.0000102098,0.00004263647,0.9976639,0.0001117492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001208383,0.00006574571,6.624408e-8,0.000002958265,0.00001271306,0.00004480854,0.9990197,0.00004829913,0.0008044293],"genre_scores_gemma":[0.00002807147,0.00001588233,0.000148719,0.00002234138,0.00007208357,0.0007853542,0.9988618,0.00001747132,0.00004824867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9561777,"threshold_uncertainty_score":0.9994687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008753436982565855,"score_gpt":0.2270603224880548,"score_spread":0.2183068855054889,"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."}}