{"id":"W4398294874","doi":"10.7910/dvn/n2fdd2","title":"Aproximación Social del Contrabando en la Zona del Campo de Gibraltar","year":2022,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Labor Law and Work Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"AUG Signals (Canada)","funders":"","keywords":"Humanities; Geography; Cartography; Art","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":[0.0009417389,0.0006144089,0.0007068709,0.003888752,0.0006514048,0.002225239,0.001202674,0.001190587,0.02116098],"category_scores_gemma":[0.006236792,0.0002499166,0.0007039373,0.005891337,0.0003262015,0.001220942,0.001711291,0.001317145,0.01192116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121495,"about_ca_system_score_gemma":0.001616351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08601183,"about_ca_topic_score_gemma":0.1181907,"domain_scores_codex":[0.9994659,0.00014936,0.00007140829,0.0001014737,0.0001123305,0.00009953365],"domain_scores_gemma":[0.9979308,0.0007740912,0.0004014081,0.0002502894,0.0004503097,0.000193252],"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":[0.0001286061,0.00004078598,0.0300763,0.001483596,0.0000798995,0.00007794835,0.0002589803,0.0004069463,0.00006257314,0.002034864,0.9570885,0.008261018],"study_design_scores_gemma":[0.0002111653,0.00003046924,0.09768569,0.001367045,0.0000774076,0.0001087487,0.001879914,0.001222685,0.0001992027,0.001702641,0.8954641,0.00005096597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003125658,0.0005143217,0.00005655794,0.0007588735,0.0000666261,0.00001105766,0.9936241,0.00009901806,0.001743895],"genre_scores_gemma":[0.009979067,0.0007997362,0.0003040442,0.0002136918,0.0000619826,0.0001197824,0.9861925,0.00004018054,0.002288948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08601183,"threshold_uncertainty_score":0.1710224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009823464576967183,"score_gpt":0.2704002655884228,"score_spread":0.2605768010114556,"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."}}