{"id":"W6948593359","doi":"10.5061/dryad.sf7m0cg6b","title":"Data from: Ground and stem sampling as potential detection tools for the wool of Adelges tsugae (Hemiptera: Adelgidae)","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sampling (signal processing); Canopy; Distance sampling; Wool; Tree (set theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001037634,0.0003171582,0.0002682431,0.001076314,0.0002914926,0.0004113482,0.0004090232,0.0002861504,0.003134271],"category_scores_gemma":[0.002538475,0.0001870146,0.0001550858,0.000495074,0.0001843936,0.0003490319,0.0004865391,0.0003003007,0.0009420108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458905,"about_ca_system_score_gemma":0.0003854857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01492841,"about_ca_topic_score_gemma":0.07246144,"domain_scores_codex":[0.9992061,0.0002076929,0.00009112444,0.0001951799,0.0002507363,0.00004912491],"domain_scores_gemma":[0.9964035,0.0009747373,0.0009275395,0.0002409486,0.001230302,0.0002230253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007276235,0.000232129,0.8681892,0.0004810724,0.00009763768,0.0002590436,0.00113677,0.0005807248,0.03069043,0.0001151386,0.00581674,0.09167349],"study_design_scores_gemma":[0.00005034699,0.0005282917,0.9742119,0.00009080192,0.00007797017,0.0002024082,0.000589218,0.003448992,0.009114553,0.00009925323,0.01155719,0.00002905097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9627207,0.0003399746,0.008635995,0.0001202607,0.00006940765,0.0007659054,0.01921316,0.0003150465,0.007819581],"genre_scores_gemma":[0.9392352,0.0002520657,0.0362431,0.0002172002,0.00004898527,0.00113174,0.01722173,0.00005948907,0.005590573],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01492841,"threshold_uncertainty_score":0.02968299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1837552870326131,"score_gpt":0.3712009009927807,"score_spread":0.1874456139601676,"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."}}