{"id":"W7160608607","doi":"10.21966/kmc2-5r12","title":"DNA metabarcoding data from Autonomous Reef Monitoring Structures (ARMS) deployed around Calvert Island British Columbia","year":2017,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kelp; Reef; Kelp forest; Coral reef; Atoll; Invertebrate; Software deployment; Temperate climate; Ornithology","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":[0.001238961,0.0009227885,0.0009039884,0.006328676,0.002656294,0.001765649,0.00163427,0.0008633491,0.01270982],"category_scores_gemma":[0.005610906,0.000640172,0.000368479,0.01064037,0.0005002941,0.0004291001,0.001645833,0.001293017,0.006782454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004949724,"about_ca_system_score_gemma":0.01779113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8338231,"about_ca_topic_score_gemma":0.9376556,"domain_scores_codex":[0.9989017,0.00005622697,0.0001119325,0.0003196619,0.0003885433,0.000221849],"domain_scores_gemma":[0.9952298,0.0004896831,0.000520804,0.0005265216,0.002729776,0.0005033739],"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":[0.0002615659,0.00005347087,0.08899584,0.002148322,0.0002419412,0.0003733035,0.001343009,0.0007475041,0.002801512,0.001335836,0.8670146,0.03468292],"study_design_scores_gemma":[0.0001717722,0.0000225631,0.3365867,0.001219355,0.0002038421,0.0002365826,0.001253881,0.0008328431,0.001837487,0.001068512,0.6564446,0.0001218688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007655052,0.0002194542,0.0004625917,0.0001104562,0.00001986496,0.00005013323,0.988442,0.0001785372,0.002861753],"genre_scores_gemma":[0.008877233,0.0002047999,0.001806163,0.00007632828,0.000007344512,0.0002254912,0.9859574,0.00008326388,0.002762038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1661769,"threshold_uncertainty_score":0.3343109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08478797292941002,"score_gpt":0.3269623420411256,"score_spread":0.2421743691117156,"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."}}