{"id":"W6977294257","doi":"10.6084/m9.figshare.28685156","title":"Iqaluit clam raw data.xlsx","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Generational Differences and Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Raw data; Petroleum; Hydrocarbon; Hazardous waste","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":[0.001554204,0.002551683,0.001703269,0.004620261,0.00167327,0.003653174,0.003504522,0.001949188,0.1929013],"category_scores_gemma":[0.008455392,0.001052376,0.00182132,0.007099234,0.000668194,0.001489239,0.002718763,0.002028138,0.1439914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002422132,"about_ca_system_score_gemma":0.005717275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.130017,"about_ca_topic_score_gemma":0.2047351,"domain_scores_codex":[0.9988374,0.0001247079,0.0001151987,0.0003583551,0.000270684,0.0002938045],"domain_scores_gemma":[0.9967037,0.0008654065,0.0002768739,0.0006789033,0.001114218,0.0003609301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000699756,0.000014744,0.001002045,0.0009260832,0.00004240431,0.00001666669,0.00003644689,0.000189282,0.0001781912,0.00029384,0.9957289,0.001501324],"study_design_scores_gemma":[0.000385437,0.00002230203,0.00795933,0.0004483791,0.00005999171,0.00003377096,0.0001114846,0.0002721593,0.0004782427,0.0009721136,0.9892076,0.00004928876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004501893,0.00001761221,0.00002422006,0.0000187733,0.00001032533,0.00000810369,0.999411,0.0002298834,0.0002351467],"genre_scores_gemma":[0.0002832871,0.00002905741,0.0002282637,0.00003445244,0.000006050055,0.00009419882,0.9984912,0.00018142,0.0006520729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.869983,"threshold_uncertainty_score":0.6453193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1786557652952077,"score_gpt":0.4097085325708297,"score_spread":0.231052767275622,"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."}}