{"id":"W4398586634","doi":"10.7910/dvn/pkjufn/06hbqn","title":"FCC2002.132.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Computer science; Geography; Geology; Computer network","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001378636,0.003147767,0.001824399,0.004846633,0.001191022,0.003810579,0.004171737,0.003115005,0.157304],"category_scores_gemma":[0.007664018,0.0009265653,0.001547873,0.008330344,0.0006696621,0.002281075,0.002371256,0.00198812,0.2295008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212386,"about_ca_system_score_gemma":0.002650915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04455809,"about_ca_topic_score_gemma":0.06960865,"domain_scores_codex":[0.9986803,0.0002724144,0.0001227915,0.0004017269,0.0002593043,0.0002635185],"domain_scores_gemma":[0.9971547,0.0006348702,0.0002212333,0.0008599367,0.000796899,0.0003323877],"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":[0.00003011284,0.000008839755,0.0001472142,0.0002433561,0.00001360851,0.000006614662,0.000007870748,0.0001228066,0.00003888739,0.0002613273,0.9984182,0.0007011419],"study_design_scores_gemma":[0.0002726659,0.00002282568,0.001651917,0.0002869781,0.00002774388,0.00003765354,0.00006578175,0.0005347044,0.0003009884,0.001393157,0.9953735,0.00003210417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000560444,0.00005099203,0.00003283507,0.00006381723,0.00002766396,0.000004958602,0.9985166,0.0004740113,0.000773121],"genre_scores_gemma":[0.0002212733,0.00003506241,0.0001080393,0.00004809666,0.000008592905,0.00002515171,0.998863,0.000116448,0.0005743669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842696,"threshold_uncertainty_score":0.5262345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531140791500778,"score_gpt":0.2543641762571075,"score_spread":0.2290527683420997,"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."}}