{"id":"W2462453894","doi":"10.25336/p60g63","title":"Developments in Australian Migration","year":2016,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biological dispersal; Irregular migration; Scale (ratio); Geography; Economic geography; Human migration; Political science; Regional science; Population; Sociology; Demography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002973113,0.00004867707,0.00007121427,0.0002306059,0.0001233695,0.00001137671,0.00005270351,0.0000565114,0.00003415618],"category_scores_gemma":[0.0002858039,0.00004164237,0.000009046847,0.0003423327,0.00005382616,0.0001696496,0.000004419158,0.00002989792,0.00001781552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373608,"about_ca_system_score_gemma":0.0001515646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3441262,"about_ca_topic_score_gemma":0.9991593,"domain_scores_codex":[0.9993424,0.00007425346,0.0001653123,0.0001074111,0.0001036896,0.0002069415],"domain_scores_gemma":[0.9997657,0.00002835572,0.00003159665,0.00004877984,0.00004530348,0.00008028006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000146893,0.000003295878,0.9325471,0.000002267888,0.000003104789,0.000003650933,0.02002087,0.00001561637,0.000006210272,0.03288005,0.001045406,0.01347098],"study_design_scores_gemma":[0.0001756203,0.000003170273,0.9068311,0.00005987956,0.000001164594,1.024801e-7,0.006637524,0.00001516539,0.000002158794,0.001500705,0.08467767,0.00009574884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990157,0.00004776814,0.000005457998,0.005009336,0.0003487507,0.0001558969,0.000005729968,0.00001252112,0.004257509],"genre_scores_gemma":[0.9962406,0.0002065344,0.0001052146,0.0001396275,0.00003921899,0.00001484431,0.00000960225,0.000003216649,0.00324112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6550331,"threshold_uncertainty_score":0.6602414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07093210108236375,"score_gpt":0.368650002226295,"score_spread":0.2977179011439312,"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."}}