{"id":"W6906001591","doi":"10.15468/e8g3at","title":"DFO Quebec Region Invertebrate assemblages and submerged aquatic vegetation in coastal areas of the St. Lawrence Estuary and Gulf (north shore) using a drop photo camera system.","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Estuary; Invertebrate; Shore; Water column; Underwater; Seagrass; Coastal management; Diel vertical migration; Baseline (sea); Littoral zone","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003891911,0.0006476522,0.0004474148,0.002958379,0.0008398351,0.0009702819,0.001201211,0.0004015375,0.02111935],"category_scores_gemma":[0.001889949,0.0002587474,0.000435412,0.005985919,0.0002292215,0.0004885049,0.0005784414,0.0005403218,0.004233957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01129539,"about_ca_system_score_gemma":0.009349682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875637,"about_ca_topic_score_gemma":0.9946361,"domain_scores_codex":[0.9996512,0.00001795882,0.00002094307,0.00009568867,0.0001250073,0.00008922756],"domain_scores_gemma":[0.997485,0.0001413939,0.0002547507,0.0001513007,0.001755528,0.0002119704],"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":[0.0002194304,0.0001120331,0.269021,0.0005320905,0.0001891257,0.0001702494,0.0004232677,0.001849564,0.0006012213,0.00094156,0.6881678,0.03777261],"study_design_scores_gemma":[0.00007575664,0.00002667403,0.6923736,0.0003390274,0.0000411557,0.00008645652,0.001000977,0.003890226,0.0006111151,0.0001841701,0.3013169,0.00005388025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02077105,0.0001158834,0.0002655348,0.00009722317,0.00002022896,0.00005800685,0.9734836,0.0001430973,0.005045527],"genre_scores_gemma":[0.07073815,0.0002182405,0.00167579,0.0001109826,0.00001154261,0.0002255768,0.9139169,0.00006971556,0.01303315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02111935,"threshold_uncertainty_score":0.08195418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212442504211963,"score_gpt":0.2210247422273144,"score_spread":0.1989003171851948,"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."}}