{"id":"W7095667025","doi":"","title":"OYSTER SPAT (CRASSOSTREA VIRGINICA) COLLECTION AT GILLIS COVE, CAPE BRETON ISLAND, NOVA SCOTIA: AN ANALYSIS OF COLLECTOR EFFICACY by","year":2003,"lang":"en","type":"article","venue":"","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cape; Oyster; Nova (rocket); Nova scotia","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":[0.003270648,0.0003282095,0.0003206567,0.001311802,0.001457278,0.0007580886,0.0008011009,0.0003391377,0.0005209861],"category_scores_gemma":[0.007293192,0.000371526,0.0003420238,0.00117467,0.001239415,0.000385825,0.0008202337,0.0003340387,0.0001470246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005749707,"about_ca_system_score_gemma":0.004417422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.783538,"about_ca_topic_score_gemma":0.9401792,"domain_scores_codex":[0.9979227,0.0005862566,0.0001365844,0.0003819003,0.0006664415,0.0003061612],"domain_scores_gemma":[0.9900159,0.002508586,0.002682541,0.0006526251,0.003111999,0.001028268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001991469,0.00002225954,0.995418,0.00001744786,0.00005244523,0.00006953949,0.0007603469,0.00008939664,0.001261109,0.00001658169,0.0001529223,0.001940735],"study_design_scores_gemma":[0.000002041529,0.0000329668,0.9994154,0.000005085531,0.000009689847,0.00001634877,0.0002893217,0.00006873794,0.00007813254,0.000001628607,0.00007904199,0.000001752294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988356,0.00008729804,0.00007568775,0.00002279128,0.000003117284,0.00003553441,0.0002111105,0.000002653035,0.0007262398],"genre_scores_gemma":[0.9983478,0.0001263093,0.0002329568,0.00004814718,0.000003292695,0.00002904853,0.0003256781,0.000003017941,0.0008837947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.216462,"threshold_uncertainty_score":0.4354736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006957030914376225,"score_gpt":0.2179464160177136,"score_spread":0.2109893851033374,"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."}}