{"id":"W6943790472","doi":"10.17605/osf.io/xbfwj","title":"Project Canada 1990-95 Panel Study","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01160934,0.0003069413,0.0005264655,0.000193571,0.0003693246,0.0004819439,0.001674704,0.0001313066,0.1982972],"category_scores_gemma":[0.01285726,0.0002868987,0.0002104731,0.001289646,0.00008562405,0.0003249158,0.001286095,0.000431096,0.2534955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967864,"about_ca_system_score_gemma":0.001719638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.182895,"about_ca_topic_score_gemma":0.3589269,"domain_scores_codex":[0.9913563,0.001563064,0.001207023,0.002970707,0.002377085,0.000525804],"domain_scores_gemma":[0.9918438,0.001599606,0.0003881649,0.005084196,0.0008451686,0.0002391009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002565302,0.002624261,0.4525324,0.00005596942,0.0005192447,0.0008618555,0.01131598,0.0141934,0.002910102,0.001786181,0.3534921,0.1594521],"study_design_scores_gemma":[0.003124834,0.000009352219,0.3045746,0.0001103894,0.0002822566,0.0002511663,0.05347488,0.03056487,0.00368027,0.02949855,0.5726319,0.001796913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7004467,0.000004368281,0.001651848,0.0004579244,0.0006802799,0.0006811381,0.00002395156,0.00009371038,0.29596],"genre_scores_gemma":[0.8558764,0.00004506043,0.0006481716,0.0002733498,0.00005672728,0.0000861704,0.00001637609,0.00002598552,0.1429717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2191398,"threshold_uncertainty_score":0.9999583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107885764390847,"score_gpt":0.3469049945200186,"score_spread":0.2390192301291716,"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."}}