{"id":"W4388133368","doi":"10.1111/raq.12871","title":"Kelp breeding in China: Challenges and opportunities for solutions","year":2023,"lang":"en","type":"article","venue":"Reviews in Aquaculture","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"Institut Pasteur de Montevideo; National Natural Science Foundation of China; Yantai University","keywords":"Kelp; Germplasm; Biology; Biotechnology; Resource (disambiguation); Adaptability; Introgression; Ecology; Environmental planning; Environmental resource management; Geography; Agronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005808411,0.00008695565,0.0002200666,0.00008136647,0.00004838535,0.000008955119,0.00007723808,0.00006842124,0.00007177822],"category_scores_gemma":[0.00006217411,0.00005877196,0.00003188357,0.0001140993,0.00002746133,0.00008749821,0.00001841219,0.00009594586,0.00002920639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001621395,"about_ca_system_score_gemma":0.000008878428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004955142,"about_ca_topic_score_gemma":0.02757956,"domain_scores_codex":[0.9993427,0.00006092092,0.0001805269,0.0001556949,0.00003919125,0.0002210122],"domain_scores_gemma":[0.9997942,0.00006793541,0.00003668896,0.00005765909,0.000005611012,0.00003788961],"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":[0.000006219057,0.000004447269,0.00372162,0.0001863128,0.000002448392,0.00001260429,0.0004844874,0.000007737571,0.0000121484,0.00133869,0.003912709,0.9903105],"study_design_scores_gemma":[0.0001452253,0.000067958,0.0794185,0.0001505838,0.000004059185,0.00001711672,0.0008257636,0.0007964497,8.340504e-7,0.00190577,0.9165528,0.0001148688],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1288874,0.6965214,0.00003076245,0.02652061,0.0006780481,0.002485949,0.0008863523,0.0001904829,0.143799],"genre_scores_gemma":[0.1189811,0.8746434,0.0001846953,0.000330164,0.0001384053,0.00002646408,0.0005235103,0.000003130114,0.005169109],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9901957,"threshold_uncertainty_score":0.9901646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.168953763405271,"score_gpt":0.2826017524558938,"score_spread":0.1136479890506228,"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."}}