{"id":"W6963522749","doi":"10.18739/a2610vs7d","title":"US Toolik Site 1, Wrkshp Community Data [Walker]","year":2020,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Boréal","funders":"","keywords":"Field (mathematics); Data collection; Production (economics); Hydrology (agriculture)","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":[0.001103136,0.001447108,0.0009596797,0.004625002,0.0007066847,0.001639025,0.002552178,0.001232568,0.08968542],"category_scores_gemma":[0.006195244,0.0007766556,0.0008442114,0.009045386,0.0003077369,0.001188972,0.001712449,0.001607327,0.1047814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001285,"about_ca_system_score_gemma":0.002360248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03767582,"about_ca_topic_score_gemma":0.05827777,"domain_scores_codex":[0.9990202,0.000149779,0.0001273651,0.0002506695,0.0002586752,0.0001933969],"domain_scores_gemma":[0.9976254,0.0005228613,0.0002550489,0.0005748103,0.000773609,0.0002482226],"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":[0.0000398034,0.00001889119,0.0006491168,0.000256,0.00001204874,0.00001299738,0.00002353777,0.0001934757,0.0001105589,0.0002788166,0.9965159,0.001888934],"study_design_scores_gemma":[0.0001887223,0.00001687539,0.006264583,0.0001865796,0.00001918117,0.00002648448,0.0001267777,0.0004648193,0.0004264509,0.0009767775,0.9912725,0.00003016839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001099036,0.000008278746,0.00004916762,0.00001974565,0.000007734927,0.000008575955,0.9991987,0.000217694,0.000380148],"genre_scores_gemma":[0.0002320238,0.00001151025,0.0002118167,0.00001459077,0.000002544196,0.0000719189,0.9988496,0.00008639747,0.0005195134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08968542,"threshold_uncertainty_score":0.3000276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1750663280037818,"score_gpt":0.3402368533515314,"score_spread":0.1651705253477496,"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."}}