{"id":"W4388551195","doi":"10.18280/ijdne.180508","title":"Avicennia Marina: A Natural Resource for Male Anti-Fertility in Family Planning","year":2023,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Lampung","keywords":"Avicennia marina; Natural family planning; Fertility; Resource (disambiguation); Natural resource; Natural (archaeology); Geography; Environmental resource management; Ecology; Biology; Family planning; Computer science; Environmental science; Demography; Sociology; Mangrove; Population; Research methodology; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001278631,0.0003589203,0.0002696205,0.0007608805,0.000876488,0.0003911934,0.0002792639,0.0003734806,0.003069274],"category_scores_gemma":[0.0001884579,0.0001226381,0.0002430938,0.0004766115,0.0002648106,0.0004034848,0.0003708137,0.0004165844,0.0003632847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897176,"about_ca_system_score_gemma":0.0003093256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002592278,"about_ca_topic_score_gemma":0.008595105,"domain_scores_codex":[0.9999268,0.00001435869,0.000004617044,0.00002223292,0.00001794542,0.00001394228],"domain_scores_gemma":[0.9998785,0.00002549652,0.00003840637,0.000008968506,0.00002505916,0.00002353747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003577526,0.0002979227,0.02374,0.001533347,0.0001229907,0.00222002,0.001077576,0.0003168926,0.8397164,0.0009154074,0.001303983,0.1283977],"study_design_scores_gemma":[0.00005945165,0.00160011,0.7048555,0.0005779734,0.0004486573,0.009527321,0.002748204,0.001135154,0.1144765,0.001963736,0.1624922,0.0001151796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334784,0.03249037,0.004838888,0.001268543,0.0001456436,0.0001476335,0.001339234,0.0002026806,0.02608871],"genre_scores_gemma":[0.9848961,0.004676879,0.004715961,0.0004076137,0.00008612307,0.00003810759,0.0004307542,0.00002113161,0.004727378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003069274,"threshold_uncertainty_score":0.01026779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935378138368068,"score_gpt":0.2908989505956094,"score_spread":0.2715451692119287,"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."}}