{"id":"W7095370558","doi":"","title":"Aquatic Sciences 2447 Seasonal Patterns of Biological and Physical Variables in Sediments of","year":2002,"lang":"en","type":"article","venue":"","topic":"Landscape and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Aquatic ecosystem; Table (database); Aquatic environment; Biological sciences","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001185303,0.000108393,0.0001513828,0.0007799341,0.0005715265,0.0007885417,0.00007462523,0.0001577372,0.003596349],"category_scores_gemma":[0.000317131,0.0001273098,0.0001049269,0.001116494,0.0002288547,0.0002461847,0.0004192578,0.0001674222,0.0009289684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005099355,"about_ca_system_score_gemma":0.0004038335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02731762,"about_ca_topic_score_gemma":0.05487586,"domain_scores_codex":[0.9999342,0.00000656889,0.000007079637,0.00001334895,0.00002669008,0.00001217089],"domain_scores_gemma":[0.9998714,0.00001064929,0.0000343041,0.000005652918,0.00005512763,0.00002275347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001902883,0.00006373811,0.9418312,0.000123447,0.0001050461,0.0002948989,0.001002481,0.0003313368,0.01663481,0.000324728,0.003968177,0.03512984],"study_design_scores_gemma":[9.15543e-7,0.00001497979,0.99775,0.000004251684,0.000003577372,0.00002002105,0.0003019286,0.00009822895,0.0002316789,0.00003383935,0.001538921,0.000001601909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872019,0.0004394406,0.0001982408,0.00009914663,0.00002168539,0.000008997,0.001763498,0.00001783434,0.0102492],"genre_scores_gemma":[0.9917773,0.0002785564,0.0002228942,0.00003896038,0.0000165452,0.000007827199,0.001552613,0.00001062142,0.006094632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02731762,"threshold_uncertainty_score":0.05431724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07772356699464827,"score_gpt":0.2417804824698966,"score_spread":0.1640569154752483,"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."}}