{"id":"W4366082640","doi":"","title":"Exploring and exploiting new tools for functional trait extraction from in situ plankton images","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Trait; Plankton; Computer science; In situ; Extraction (chemistry); Artificial intelligence; Biology; Ecology; Chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007864611,0.001261075,0.0008107225,0.003030097,0.0002675127,0.001736706,0.0007099839,0.001013342,0.002646882],"category_scores_gemma":[0.002064954,0.0003665134,0.001095419,0.001899595,0.0003127518,0.001500678,0.00100481,0.0006834965,0.002012733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174034,"about_ca_system_score_gemma":0.000339494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359938,"about_ca_topic_score_gemma":0.002476634,"domain_scores_codex":[0.9995518,0.00006919348,0.00002628907,0.0001615597,0.0001408721,0.00005020385],"domain_scores_gemma":[0.9986076,0.0007762502,0.0001355155,0.00018777,0.0002295327,0.00006345985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000185422,0.0001180135,0.007414081,0.0007767345,0.0002191391,0.0003801374,0.0002736117,0.005662743,0.5294441,0.001120052,0.003119669,0.4512863],"study_design_scores_gemma":[0.00005723416,0.0004086635,0.07283142,0.0002334077,0.0004751406,0.002352314,0.00102232,0.4886244,0.3749409,0.02057739,0.03828591,0.0001908457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06669351,0.001370042,0.9210109,0.0003116093,0.0000898189,0.00006441291,0.003090159,0.00581683,0.001552766],"genre_scores_gemma":[0.2127216,0.001561507,0.7760459,0.0001788762,0.0001153391,0.0001431672,0.005334503,0.0007787147,0.003120352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003030097,"threshold_uncertainty_score":0.008854747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08099944197126692,"score_gpt":0.2569425019938974,"score_spread":0.1759430600226305,"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."}}