{"id":"W4406432927","doi":"10.1016/s0967-0653(97)80182-2","title":"10.1016/s0967-0653(97)80182-2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sulfide; Silicate; Margin (machine learning); Iron sulfide; Geology; Geochemistry; Environmental chemistry; Chemistry; Sulfur","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006932097,0.0001046411,0.0001113367,0.00002213728,0.0001244644,0.00002538579,0.0001352823,0.00002776625,0.9998696],"category_scores_gemma":[0.000006065699,0.00008604307,0.00003571505,0.00009414084,0.00003834502,0.00008080967,0.00001655766,0.00005611678,0.9998258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003294609,"about_ca_system_score_gemma":0.000003696389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011611,"about_ca_topic_score_gemma":0.00002802188,"domain_scores_codex":[0.9993307,0.00001804279,0.0001022343,0.0001731376,0.0001448579,0.0002310396],"domain_scores_gemma":[0.9997137,0.00002737762,0.00001245934,0.0001281251,0.000003058067,0.0001153329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003075082,0.00000900865,0.00005147745,0.000001916206,0.000009031666,0.000004704302,0.00001075224,0.0003055743,1.552167e-7,3.792795e-8,0.04913916,0.9504374],"study_design_scores_gemma":[0.00009227361,0.0001221183,0.003323179,0.000002959612,0.000007245172,0.000004112164,0.000002191255,0.000267453,0.000005872208,0.000007872389,0.9960362,0.0001285657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00105604,0.0001520704,9.492143e-8,0.0001900477,0.000001630752,0.00008110978,0.00002682335,0.00004281745,0.9984494],"genre_scores_gemma":[0.0003601503,0.000003214225,0.00006548878,0.00008557161,0.00009770988,0.000001293536,0.00005045672,0.00000303412,0.9993331],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9503089,"threshold_uncertainty_score":0.3508735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006526988294973181,"score_gpt":0.1402493382689196,"score_spread":0.1337223499739464,"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."}}