{"id":"W6977632918","doi":"10.6084/m9.figshare.25716351","title":"Fuzzy codes and occurrence data for intertidal species in Nova Scotia, Canada","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intertidal zone; Bay; Invertebrate; Fuzzy logic; Nova (rocket)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005463462,0.00115688,0.0009194818,0.004432033,0.00163195,0.001730065,0.00199799,0.001133099,0.02134159],"category_scores_gemma":[0.005124375,0.0005504044,0.0008553817,0.01118323,0.0005452546,0.0004854538,0.0009147723,0.001084423,0.01329321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007711087,"about_ca_system_score_gemma":0.01357511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9056652,"about_ca_topic_score_gemma":0.9468775,"domain_scores_codex":[0.9993159,0.00004740617,0.00007203115,0.0002089866,0.0002222914,0.0001334377],"domain_scores_gemma":[0.9965248,0.0007365012,0.0002941102,0.0004479541,0.001721584,0.0002750616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001316048,0.00003982715,0.01847602,0.001354967,0.000122105,0.0001098307,0.0001607476,0.002135667,0.0002757351,0.001202007,0.9695243,0.00646724],"study_design_scores_gemma":[0.0002857437,0.00001993319,0.1028763,0.001096426,0.0001054236,0.0001087365,0.0005419927,0.002286743,0.0005287227,0.001050312,0.891014,0.00008566394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006240032,0.00005298867,0.00002663894,0.00002085959,0.000005774166,0.000006285528,0.9988257,0.00003778567,0.000399895],"genre_scores_gemma":[0.001960716,0.00006938309,0.000225765,0.00001676487,0.000001877337,0.0000412283,0.9970426,0.000014766,0.0006269008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09433478,"threshold_uncertainty_score":0.1897807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05293508123009551,"score_gpt":0.2597820449120594,"score_spread":0.2068469636819639,"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."}}