{"id":"W6887756119","doi":"10.17605/osf.io/kczbj","title":"Project Canada 1975-95 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":[0.01162473,0.0003073263,0.000527215,0.0001949178,0.0003694747,0.0004866862,0.001677122,0.0001310618,0.2061175],"category_scores_gemma":[0.01257933,0.0002874702,0.0002091258,0.001307862,0.00008552025,0.0003253319,0.001287577,0.0004310885,0.2539477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016775,"about_ca_system_score_gemma":0.001800529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1533626,"about_ca_topic_score_gemma":0.340115,"domain_scores_codex":[0.9913663,0.00154528,0.001206748,0.002974576,0.002380296,0.0005267598],"domain_scores_gemma":[0.9917886,0.001576903,0.0003894979,0.005101634,0.0009037159,0.0002396445],"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":[0.0002577793,0.002621921,0.4599353,0.00005586035,0.0005190435,0.0008542531,0.01019001,0.01459181,0.003016388,0.001814625,0.3514143,0.1547287],"study_design_scores_gemma":[0.003137308,0.000009466238,0.2937261,0.000112226,0.0002827361,0.0002488685,0.04773665,0.03012036,0.003884464,0.0257302,0.5932083,0.001803263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6721683,0.000004335375,0.001638496,0.0004032141,0.0006807665,0.000676073,0.00002326043,0.0000928488,0.3243128],"genre_scores_gemma":[0.8145693,0.00004371257,0.0006344345,0.0002679133,0.00005598973,0.0000847238,0.00001503235,0.00002519699,0.1843037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.241794,"threshold_uncertainty_score":0.9999577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096897538033905,"score_gpt":0.3478479708194597,"score_spread":0.2381582170160692,"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."}}