{"id":"W6948409031","doi":"10.5061/dryad.ns1rn8pt4","title":"Zostera marina microsatellite and environmental data","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada; Vancouver Island University; Simon Fraser University; University of Victoria","funders":"","keywords":"Zostera marina; Microsatellite; Environmental data; Zostera; Otter","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":[0.0008485775,0.002257603,0.001535652,0.003714061,0.001645014,0.001644882,0.00371931,0.001898847,0.02336977],"category_scores_gemma":[0.00307568,0.0006502242,0.00112932,0.006747101,0.0006631893,0.000752032,0.001815468,0.001885128,0.03907195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926227,"about_ca_system_score_gemma":0.005193306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3700406,"about_ca_topic_score_gemma":0.5900137,"domain_scores_codex":[0.9991553,0.0000662745,0.00006810618,0.0002292419,0.0002780777,0.0002029091],"domain_scores_gemma":[0.9981177,0.000173154,0.0001052117,0.0003537915,0.001018812,0.0002313639],"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":[0.00006188999,0.00003323822,0.001524542,0.0003178779,0.00003088089,0.00003794468,0.00003252695,0.0003343333,0.0002231814,0.0002468798,0.9941571,0.002999713],"study_design_scores_gemma":[0.0003204189,0.00002495495,0.02305095,0.0002741901,0.00006232729,0.0001192545,0.0002488381,0.00130042,0.0008409635,0.0009864741,0.9727094,0.00006186974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004422732,0.00005018657,0.00005405729,0.00003491932,0.00001696432,0.00001730154,0.9986658,0.0001714551,0.0005470371],"genre_scores_gemma":[0.0004428274,0.00002134827,0.0001706563,0.00001404115,0.000002588476,0.00003627801,0.9988331,0.00001938867,0.0004597756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3700406,"threshold_uncertainty_score":0.7357735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05826750306593802,"score_gpt":0.3358294468816443,"score_spread":0.2775619438157063,"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."}}