{"id":"W4398275946","doi":"10.7910/dvn/2ceywv/p7hovg","title":"Raúl_Labrador.jpg","year":2019,"lang":"gl","type":"dataset","venue":"Harvard Dataverse","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Computer science; Information retrieval; Cartography; Biology; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002110299,0.005338567,0.003119329,0.007327668,0.001260347,0.006558546,0.006754362,0.003069405,0.27876],"category_scores_gemma":[0.00934374,0.001192058,0.001558068,0.009145471,0.00101383,0.002935566,0.005460968,0.002866701,0.5114772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599233,"about_ca_system_score_gemma":0.002068204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00860516,"about_ca_topic_score_gemma":0.01250808,"domain_scores_codex":[0.9980038,0.0003495061,0.0001752904,0.000656912,0.000443173,0.0003714479],"domain_scores_gemma":[0.9958104,0.000585408,0.000326455,0.001952497,0.0007115632,0.0006137557],"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":[0.00003664259,0.00001569405,0.0001408076,0.0001546418,0.000009470071,0.000005421504,0.000005743795,0.00005577984,0.00003896435,0.0002382155,0.9966697,0.002628973],"study_design_scores_gemma":[0.0002774845,0.00004155044,0.0011286,0.0002706746,0.00001948149,0.00004522947,0.00005215008,0.0007402305,0.0004871163,0.002229739,0.9946734,0.00003431812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00019333,0.0001632016,0.0002160971,0.000257405,0.0001346512,0.00003304485,0.9910446,0.004725559,0.00323208],"genre_scores_gemma":[0.0006122203,0.0001159638,0.0005851118,0.0001075414,0.0000431948,0.0001300836,0.9951775,0.0007261055,0.002502219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.72124,"threshold_uncertainty_score":0.9325449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459427943361172,"score_gpt":0.2638907917282827,"score_spread":0.239296512294671,"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."}}