{"id":"W4398733216","doi":"10.7910/dvn/pkjufn/iznrgt","title":"FCC2002.205.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":[0.00131879,0.002907432,0.001608665,0.004638397,0.001131559,0.003759576,0.003817236,0.002921141,0.1623667],"category_scores_gemma":[0.007789221,0.0008898379,0.001509271,0.007749393,0.0006611683,0.002303432,0.002324636,0.002047288,0.2250634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002180468,"about_ca_system_score_gemma":0.002645076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05096937,"about_ca_topic_score_gemma":0.07717157,"domain_scores_codex":[0.9987702,0.000252888,0.0001135381,0.000358636,0.0002502299,0.0002543972],"domain_scores_gemma":[0.9970263,0.0006573842,0.0002292188,0.0008916261,0.0008557255,0.0003396663],"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":[0.00002569452,0.00000731741,0.000139847,0.0001928498,0.00001126146,0.000005437578,0.000007005252,0.0001148388,0.0000287877,0.0002783355,0.9985518,0.0006368207],"study_design_scores_gemma":[0.0002315249,0.0000180262,0.00164133,0.0002694394,0.00002296606,0.00003101162,0.00006603262,0.0005110695,0.0002610824,0.001476515,0.9954412,0.00002978853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004742091,0.00004014521,0.00002876613,0.00006806531,0.00002843563,0.000004307036,0.9985557,0.00041197,0.0008151073],"genre_scores_gemma":[0.0002394614,0.00003344654,0.0001112551,0.00005414365,0.000009506716,0.00002466892,0.9987009,0.0001271251,0.0006995829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8376333,"threshold_uncertainty_score":0.5431708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024924298618746,"score_gpt":0.2534840165143198,"score_spread":0.2285597178955738,"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."}}