{"id":"W2915887409","doi":"10.1021/cen-09707-buscon9","title":"Cargill launches Red Seaweed Promise","year":2019,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algae; Environmental science; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001249915,0.0001495619,0.0001932107,0.00002423534,0.00004153908,0.00003746101,0.0002754185,0.00009570099,0.004319825],"category_scores_gemma":[0.00002720141,0.0001162073,0.00007566878,0.0001287327,0.00003334357,0.0001223017,0.00004965267,0.00009693443,0.002419536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009044311,"about_ca_system_score_gemma":0.00004263917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008908092,"about_ca_topic_score_gemma":0.003990947,"domain_scores_codex":[0.9989827,0.00006899211,0.0001663166,0.0003062136,0.000144796,0.0003310105],"domain_scores_gemma":[0.9995066,0.00004551504,0.00005108763,0.0002322124,0.00002291363,0.0001416686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002252699,0.00001928821,0.9011354,0.00002115693,0.00002543282,0.00003910766,0.00004687507,0.00007118317,0.00007645311,0.00008603084,0.004389654,0.09386411],"study_design_scores_gemma":[0.001017077,0.00039453,0.5275815,0.00003253256,0.00002469405,0.0001052095,0.0001650915,0.002555246,0.00009038587,0.000869062,0.4667706,0.0003940987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6216905,0.0001808446,0.000009332368,0.00024335,0.0004608773,0.0002029474,0.0002342346,0.00006308898,0.3769149],"genre_scores_gemma":[0.9865798,0.00002832674,0.0001256245,0.0004511719,0.00009237782,0.000001070964,0.0002989981,0.000002202434,0.01242045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.462381,"threshold_uncertainty_score":0.9983572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005061551964661867,"score_gpt":0.190645476596974,"score_spread":0.1855839246323121,"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."}}