{"id":"W4246718986","doi":"10.14322/publons.r2628817","title":"10.14322/publons.r2628817","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural resource management; Biodiversity; Citizen journalism; Natural (archaeology); Environmental resource management; Natural resource; Resource (disambiguation); Resource management (computing); Environmental planning; Business; Computer science; Geography; Environmental science; Ecology; World Wide Web; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001894124,0.003273024,0.001991703,0.004597179,0.0009010131,0.004114411,0.004793617,0.002825746,0.5251125],"category_scores_gemma":[0.009660485,0.002111584,0.001739603,0.01034806,0.0006673014,0.002551176,0.003738821,0.001381167,0.6781612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749698,"about_ca_system_score_gemma":0.002580908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244571,"about_ca_topic_score_gemma":0.04799067,"domain_scores_codex":[0.9983858,0.0002702746,0.000194132,0.0005658775,0.0003055884,0.0002783654],"domain_scores_gemma":[0.996181,0.001036792,0.0004332938,0.001094015,0.0008236334,0.0004311923],"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":[0.00004600849,0.00001221132,0.0005122341,0.0005964221,0.00003684654,0.00001091032,0.000025238,0.000232944,0.00007387079,0.0003698961,0.9957397,0.002343768],"study_design_scores_gemma":[0.0002990068,0.00001980358,0.00215832,0.0002586109,0.00003814685,0.00002486784,0.00005851073,0.000345956,0.0002913481,0.001066138,0.9953923,0.00004692282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003681043,0.00002821419,0.000100476,0.00004002396,0.00001533382,0.000007386742,0.9977326,0.001119888,0.0009192796],"genre_scores_gemma":[0.000307346,0.00004463526,0.0002998089,0.00005792351,0.000007582695,0.00008069632,0.9961456,0.0008789502,0.002177356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4748875,"threshold_uncertainty_score":0.6773694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003822557567428951,"score_gpt":0.1638390148370006,"score_spread":0.1600164572695716,"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."}}