{"id":"W4405840440","doi":"10.2331/suisan.24-00007","title":"Methods for detection and cell abundance estimation of harmful dinoflagellate <i>Karenia mikimotoi</i> using peak shifts of chlorophyll fluorescence spectra","year":2024,"lang":"en","type":"article","venue":"NIPPON SUISAN GAKKAISHI","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantech AMT (Canada)","funders":"","keywords":"Dinoflagellate; Chlorophyll a; Abundance (ecology); Fluorescence; Chemistry; Biology; Botany; Ecology; Physics; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001565144,0.0003072186,0.0004209526,0.0001921685,0.0001953789,0.0001197933,0.0002406423,0.0001702334,0.0005599489],"category_scores_gemma":[0.0002361341,0.0003024218,0.0001833799,0.000654958,0.0003638733,0.0005240553,0.0001841415,0.0001989459,0.00001613343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663844,"about_ca_system_score_gemma":0.00003841062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001534877,"about_ca_topic_score_gemma":0.00007291177,"domain_scores_codex":[0.9976358,0.0002857367,0.0006367517,0.0006833439,0.0003690787,0.0003892931],"domain_scores_gemma":[0.9986562,0.0004521715,0.000282551,0.0004111868,0.00004316644,0.0001547836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001051241,0.00004208061,0.0001883231,0.0002848119,0.00001150906,0.000002132187,0.0002973176,0.00165899,0.7687998,0.00007818433,0.00003360709,0.2284981],"study_design_scores_gemma":[0.0003700773,0.0002826635,0.0109992,0.0000845949,0.00008303967,0.0000173225,0.00002112359,0.3294685,0.6508421,0.00163001,0.005904039,0.0002973608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5845955,0.000464753,0.4119799,0.00002803863,0.000475839,0.0004962635,0.00002101706,0.00008564344,0.00185303],"genre_scores_gemma":[0.6856767,0.00005991532,0.313759,0.00001404768,0.0000658987,0.0000201885,0.000003461479,0.00003866791,0.0003621574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3278095,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805862300615192,"score_gpt":0.303585395085064,"score_spread":0.2855267720789121,"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."}}