{"id":"W7049624811","doi":"","title":"Matt Hern talk","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanism; Citizen journalism; Democracy; Urban planning","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":["insufficient_payload"],"category_scores_codex":[0.0008239587,0.0006925035,0.0003182188,0.0008360242,0.002672862,0.004484464,0.0006420301,0.002172828,0.3669511],"category_scores_gemma":[0.002982439,0.0002335521,0.0003148621,0.0004586221,0.0005558853,0.001932674,0.002336596,0.00279454,0.2000381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986288,"about_ca_system_score_gemma":0.001517092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003336612,"about_ca_topic_score_gemma":0.008659421,"domain_scores_codex":[0.9991685,0.00009425463,0.00001878152,0.0001629913,0.0004273838,0.0001281153],"domain_scores_gemma":[0.9987429,0.0001248518,0.00003520149,0.00005911015,0.0004068205,0.0006310689],"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":[0.000008817694,0.000005378554,0.00003569427,0.00001229036,5.887262e-7,0.00004175949,0.00004501321,0.00000979691,0.0001001559,0.00160907,0.9911304,0.007001095],"study_design_scores_gemma":[0.000001211164,0.000003090697,0.0001031811,0.00002123165,5.898613e-7,0.00007484617,0.00007353247,0.0000161841,0.00008436949,0.0003002774,0.9993191,0.000002460828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001490431,0.005588436,0.001057591,0.09855233,0.09819311,0.00005566061,0.001168185,0.0009209771,0.7929733],"genre_scores_gemma":[0.003365311,0.0007073415,0.0001394096,0.003924346,0.002535159,0.00001614872,0.0001866951,0.0001923481,0.9889333],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6330489,"threshold_uncertainty_score":0.9029674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004037801774588339,"score_gpt":0.164992402433644,"score_spread":0.1609546006590556,"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."}}