{"id":"W7046106740","doi":"","title":"Community profile, Lower Savannah Workforce Investment Area","year":2013,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Education Sciences","keywords":"Directory; Investment (military); Workforce; Census; Quarter (Canadian coin); Work (physics)","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":[0.0001586418,0.0003015682,0.0001702652,0.002969371,0.001921623,0.0008976229,0.0005922666,0.0002328437,0.08143051],"category_scores_gemma":[0.001327813,0.0001622374,0.0001087966,0.004544455,0.0001160905,0.0005916965,0.0008650355,0.0004745382,0.0252969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008204955,"about_ca_system_score_gemma":0.002852711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3183559,"about_ca_topic_score_gemma":0.5480267,"domain_scores_codex":[0.9997799,0.00001624204,0.00001147915,0.00002643045,0.00009343916,0.00007254453],"domain_scores_gemma":[0.998976,0.00005736756,0.00008969624,0.00002627836,0.000585487,0.0002652828],"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":[0.0000958962,0.0001867428,0.1814501,0.0002481594,0.00001443638,0.0005128066,0.003579308,0.0001244518,0.0007496748,0.0007122762,0.7364745,0.07585167],"study_design_scores_gemma":[0.0000254839,0.00005955646,0.7126569,0.0002440121,0.000009146414,0.0004202669,0.01459028,0.0002907562,0.0001684829,0.0002295223,0.2712789,0.00002670404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3334097,0.0006859484,0.0005823213,0.002530914,0.0001935854,0.0007093874,0.3852613,0.0007259335,0.275901],"genre_scores_gemma":[0.3062627,0.002033519,0.002045169,0.002363121,0.0001968972,0.002426587,0.2101453,0.0002977666,0.474229],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3183559,"threshold_uncertainty_score":0.6330056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451781657554315,"score_gpt":0.2103084477839872,"score_spread":0.195790631208444,"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."}}