{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009068352,0.0001810621,0.0002103817,0.00008848639,0.0004453121,0.0002908945,0.00177481,0.0003582895,0.5997019],"category_scores_gemma":[0.001456801,0.0001730161,0.00006823003,0.0002746429,0.00001845726,0.0001484472,0.0005912827,0.0002883411,0.002095642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005003751,"about_ca_system_score_gemma":0.0009461918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303036,"about_ca_topic_score_gemma":0.02016443,"domain_scores_codex":[0.9984275,0.0001118225,0.0001829604,0.0004623546,0.000527977,0.0002873709],"domain_scores_gemma":[0.9986201,0.000193956,0.0001146969,0.0008484798,0.0001158361,0.0001069238],"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":[9.280445e-7,0.0000200404,7.335956e-7,0.00008160955,0.00002168433,0.000008385896,0.0000273071,0.00000126786,2.219359e-8,0.00009076871,0.9983522,0.001395111],"study_design_scores_gemma":[0.00005956375,0.000006809227,0.00006213504,0.0005173582,0.00002402392,1.979611e-7,0.00003454821,0.000009868618,3.785894e-7,0.0000789758,0.9990184,0.0001876927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.84833e-8,0.0004533977,7.099028e-8,0.0004595083,0.0004050644,0.0001405761,0.9827794,0.00003661719,0.01572526],"genre_scores_gemma":[0.000007987896,0.00009413688,0.0000113595,0.0004518357,0.001149451,0.0000860956,0.984383,0.000003991445,0.0138121],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5976062,"threshold_uncertainty_score":0.9986814,"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."}}