{"id":"W6964816240","doi":"10.25976/gzy7-sl16","title":"RivTemp--Indian Bay Ecosystem Corporation","year":2021,"lang":"en","type":"dataset","venue":"DataStream","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; General partnership; Corporation; Watershed; Foundation (evidence); Variety (cybernetics)","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":[0.0009890567,0.001425548,0.001006708,0.004081988,0.0008097701,0.002745901,0.002825097,0.0008298782,0.0658106],"category_scores_gemma":[0.004179135,0.0007889163,0.0007851779,0.01450247,0.0002472614,0.001919455,0.001867352,0.002095119,0.09522805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949664,"about_ca_system_score_gemma":0.004552971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.136269,"about_ca_topic_score_gemma":0.1768285,"domain_scores_codex":[0.9989411,0.0001142707,0.0001209403,0.0002518437,0.0003585532,0.0002131903],"domain_scores_gemma":[0.9970764,0.0003135123,0.0003330761,0.0006749664,0.001239655,0.0003625223],"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":[0.00002473663,0.00001098168,0.001233815,0.0001531951,0.00001209645,0.000008540415,0.00001958851,0.0001375146,0.00003656486,0.0003799762,0.9960436,0.001939485],"study_design_scores_gemma":[0.00007086017,0.000007204709,0.01016523,0.0001718161,0.00001625909,0.00001877657,0.0001216434,0.0004818941,0.0001795727,0.0006600546,0.9880772,0.00002951185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009049161,0.00001132756,0.0000271553,0.000027243,0.000008699319,0.000005221272,0.9987703,0.0001720317,0.0008874726],"genre_scores_gemma":[0.0002278009,0.00001950131,0.0001217852,0.00001403202,0.00000215147,0.00003268793,0.9988953,0.00006103917,0.000625658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.136269,"threshold_uncertainty_score":0.2709517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057527610713256,"score_gpt":0.2292748632876514,"score_spread":0.2186995871805188,"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."}}