{"id":"W6962990871","doi":"10.17605/osf.io/t5bgm","title":"Project Canada 1985-95 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001964584,0.0007108939,0.001293931,0.002686065,0.002746067,0.001856867,0.002194009,0.001352186,0.02750183],"category_scores_gemma":[0.003334364,0.0005341414,0.0009180225,0.01213728,0.0004712703,0.0006342454,0.001262269,0.001543833,0.003443294],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03819407,"about_ca_system_score_gemma":0.06773236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956441,"about_ca_topic_score_gemma":0.9973397,"domain_scores_codex":[0.9978581,0.0003130348,0.00008310448,0.0002627283,0.000702887,0.0007800874],"domain_scores_gemma":[0.9955931,0.0003054372,0.0003759071,0.0002428388,0.002706205,0.0007765004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009841715,0.0003355872,0.1980739,0.0003649861,0.0006345176,0.0002967585,0.0006321541,0.004590525,0.0001907625,0.01371646,0.7578681,0.02231205],"study_design_scores_gemma":[0.0003232704,0.0000753998,0.7591165,0.0001959024,0.0002842347,0.00007884518,0.001705348,0.002494046,0.0004049302,0.001219248,0.2340208,0.00008148037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1328383,0.002884948,0.0008522024,0.008292588,0.0002881882,0.0004723927,0.8110325,0.0002251757,0.04311367],"genre_scores_gemma":[0.4123011,0.003409644,0.001789034,0.003297701,0.0001369872,0.0009857672,0.3744532,0.00013347,0.2034931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9618059,"threshold_uncertainty_score":0.2771187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108705503004147,"score_gpt":0.3488234184677037,"score_spread":0.237952868167289,"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."}}