{"id":"W2972970241","doi":"10.1080/00318884.2019.1640996","title":"Development of seaweed cultivation in Latin America: current trends and future prospects","year":2019,"lang":"en","type":"article","venue":"Phycologia","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquaculture; Temperate climate; Agriculture; Livelihood; Diversification (marketing strategy); Tropics; Biology; Geography; Fishery; Agroforestry; Ecology; Business; Fish <Actinopterygii>","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":[],"consensus_categories":[],"category_scores_codex":[0.0000670904,0.00006008901,0.000115967,0.00007310785,0.0000165271,0.000004747078,0.00004917027,0.00003317531,0.0008121369],"category_scores_gemma":[0.00000455651,0.00004314684,0.000009128511,0.0001961654,0.00001974411,0.00004321309,0.00001428832,0.00006929179,0.00002706711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002241388,"about_ca_system_score_gemma":0.0000237164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005821247,"about_ca_topic_score_gemma":0.002350609,"domain_scores_codex":[0.9995553,0.00001964725,0.0001283893,0.00012738,0.00005716665,0.0001121109],"domain_scores_gemma":[0.9998387,0.00002750485,0.00005869671,0.0000434202,0.00001007286,0.00002158929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001964735,0.00000907717,0.4559641,0.00001146397,0.000001788315,4.076878e-7,0.0001252492,0.000005299648,0.0002169813,0.00003295407,0.00004032975,0.5435727],"study_design_scores_gemma":[0.0001749835,0.00007683147,0.9491739,0.000005315844,0.00000108015,7.6866e-7,0.00007911393,0.0003576957,0.0001282593,0.00004038367,0.04990314,0.00005849964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797843,0.0001345156,0.000002752891,0.00009919531,0.0001258972,0.00008485628,0.00001019875,0.000008968685,0.01974934],"genre_scores_gemma":[0.9984589,0.00004172842,0.0008487307,0.00003660556,0.00003592911,0.000001212186,0.0001551077,6.832648e-7,0.0004210797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5435141,"threshold_uncertainty_score":0.8892329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343485905609664,"score_gpt":0.2207985382895665,"score_spread":0.2073636792334698,"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."}}