{"id":"W3017916140","doi":"","title":"The Si cycle in the Baffin Bay","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Bay; Geology; Oceanography","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":[0.0001822503,0.0001680296,0.0003587129,0.0009417466,0.00135888,0.001783297,0.000497019,0.0005909841,0.007503525],"category_scores_gemma":[0.0004287504,0.0002097683,0.0001197828,0.001689219,0.001371232,0.0008412556,0.0009759603,0.0004921101,0.0005446473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006777621,"about_ca_system_score_gemma":0.003781969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3852724,"about_ca_topic_score_gemma":0.5686245,"domain_scores_codex":[0.9998953,0.000009952748,0.000004748981,0.00002607196,0.00003155273,0.00003228001],"domain_scores_gemma":[0.9998007,0.00001414974,0.00003234623,0.000006566391,0.0000875301,0.00005881702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001705718,0.0002505951,0.6132905,0.0005656039,0.0001122435,0.001990351,0.01998026,0.004302151,0.09070356,0.06700283,0.009993533,0.1901026],"study_design_scores_gemma":[0.00003617363,0.000187611,0.8734096,0.0000930797,0.00001985002,0.0002143222,0.01214033,0.002374378,0.001814927,0.005787489,0.1038879,0.00003445835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430279,0.001525026,0.0002923957,0.001772322,0.00004323828,0.00001758483,0.0003659119,0.00002973504,0.05292588],"genre_scores_gemma":[0.9840644,0.000628425,0.0002427184,0.000156981,0.000009414354,0.000005342537,0.0001551955,0.0000102819,0.01472727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3852724,"threshold_uncertainty_score":0.7660597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008741159527695348,"score_gpt":0.2051461180720432,"score_spread":0.1964049585443478,"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."}}