{"id":"W6967447511","doi":"10.5061/dryad.jh9w0vt8s","title":"Raw microclimate data from caves and mines in New Brunswick, Canada","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microclimate; Myotis lucifugus; Hibernation (computing); Cave; Population; Habitat","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":[0.0002721271,0.0003854791,0.0002967103,0.002245485,0.00145634,0.001018321,0.0008152855,0.0002084653,0.00236563],"category_scores_gemma":[0.000798276,0.0002719997,0.0003299082,0.004626144,0.0003817979,0.0002820653,0.0006194964,0.0002235707,0.0005084855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01342222,"about_ca_system_score_gemma":0.0137761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921524,"about_ca_topic_score_gemma":0.998406,"domain_scores_codex":[0.9996052,0.00001805287,0.00003249306,0.00008584063,0.0001322966,0.0001260552],"domain_scores_gemma":[0.9987184,0.00006192453,0.0002492056,0.00006275458,0.0007285769,0.0001791219],"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":[0.00005886583,0.00001836444,0.9801934,0.0000883717,0.00005203662,0.000123776,0.0007981008,0.0003906143,0.001472076,0.00008869972,0.004877946,0.01183784],"study_design_scores_gemma":[0.000003453001,0.000003771151,0.9958852,0.00002227354,0.000007919222,0.00003360293,0.0005833322,0.000196784,0.0001475361,0.000007084084,0.003101256,0.000007674461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9325883,0.0009410492,0.0004441308,0.0002021156,0.00001784907,0.0001216772,0.05736596,0.00008167432,0.008237207],"genre_scores_gemma":[0.9649774,0.0006745697,0.001592481,0.0001344125,0.000006703253,0.0001210406,0.0266795,0.00003739092,0.005776613],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01342222,"threshold_uncertainty_score":0.09738541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08083389639083899,"score_gpt":0.3225883960730585,"score_spread":0.2417544996822195,"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."}}