{"id":"W7100859695","doi":"","title":"III. The Empirical Model and Estimation Strategy.........................................................................4","year":2002,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Work (physics); Wish; Empirical research","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":[0.008509931,0.0008849428,0.001070958,0.001399097,0.0009061547,0.004397813,0.002080348,0.002383198,0.01755911],"category_scores_gemma":[0.04039077,0.0008135596,0.001222995,0.002324466,0.001032196,0.001944785,0.001856554,0.003360342,0.01507292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916465,"about_ca_system_score_gemma":0.003664723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316646,"about_ca_topic_score_gemma":0.009216103,"domain_scores_codex":[0.9971915,0.001576201,0.0001432962,0.0004031671,0.0005207416,0.0001651375],"domain_scores_gemma":[0.995311,0.002694133,0.0003876622,0.0007470571,0.0007848621,0.00007534023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008449835,0.0001013686,0.01918434,0.0004947534,0.0001529846,0.0005522919,0.000511616,0.05018238,0.0007354992,0.5248876,0.149197,0.2539157],"study_design_scores_gemma":[0.00003787319,0.0001167771,0.01013344,0.001085523,0.000178993,0.000810449,0.0007708,0.151177,0.001470624,0.6118522,0.2222603,0.0001061497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008218247,0.005519547,0.9110876,0.02544426,0.001030705,0.0007001827,0.007672586,0.0006799016,0.039647],"genre_scores_gemma":[0.2670909,0.01570113,0.5731961,0.007177829,0.00231269,0.003837999,0.01649167,0.0009941099,0.1131976],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9824409,"threshold_uncertainty_score":0.05874109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2831703720839063,"score_gpt":0.3803060593563306,"score_spread":0.09713568727242433,"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."}}