{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0002477472,0.0002435935,0.0003028555,0.00005400549,0.00009518272,0.001179063,0.004535466,0.000144873,0.0005667396],"category_scores_gemma":[0.00002782564,0.0002356651,0.00002520617,0.0001099039,0.00007925446,0.001353997,0.01586999,0.0002918467,0.0002210245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002997743,"about_ca_system_score_gemma":0.00007025535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004694131,"about_ca_topic_score_gemma":0.00002056294,"domain_scores_codex":[0.9982188,0.00006009035,0.0002415539,0.001067784,0.0001833309,0.0002283927],"domain_scores_gemma":[0.9968488,0.00005993739,0.000140268,0.002846686,0.000009050477,0.0000952781],"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":[0.000002899029,0.00003052661,0.000002819155,0.000008164935,0.00001068284,0.0001848226,0.000009307017,8.927638e-9,0.0001523719,3.646698e-7,0.6594658,0.3401323],"study_design_scores_gemma":[0.0001196676,0.00004205621,0.00001518692,0.00006755086,0.00001817651,0.0001200548,0.000008838009,0.0000284492,0.005190483,0.00004216385,0.9940578,0.0002896171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001572308,0.00177348,0.01043068,0.00007657894,0.0001490544,0.0002995652,0.9870819,0.000002947512,0.0001700679],"genre_scores_gemma":[0.000002548426,0.003453069,0.1106165,0.0001671526,0.00006049946,0.000004966994,0.8848701,0.000008046298,0.0008171962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3398426,"threshold_uncertainty_score":0.9998578,"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."}}