{"id":"W2177221723","doi":"10.1017/s0033822200045240","title":"Personal Recollections of a Good Experiment","year":2010,"lang":"en","type":"article","venue":"Radiocarbon","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Radiocarbon dating; History; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009883774,0.00005643622,0.00007823609,0.00008165968,0.0000828933,0.00003902258,0.0001684992,0.00004251495,0.00001820175],"category_scores_gemma":[0.00001624004,0.00005283052,0.00004326296,0.0002280478,0.00004774275,0.0001410113,0.00002470576,0.000127188,0.000004756405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001408265,"about_ca_system_score_gemma":0.0001105624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002393173,"about_ca_topic_score_gemma":0.000006255517,"domain_scores_codex":[0.9995071,0.00001504008,0.0001066576,0.0001555246,0.0001100052,0.0001056968],"domain_scores_gemma":[0.9996861,0.00001659584,0.00005408108,0.0001654535,0.00003908058,0.00003873578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001146207,0.0002475466,0.00246474,0.00003781445,0.0000478504,0.000005645183,0.004471774,0.000005079411,0.5326643,0.02868378,0.001129064,0.4302309],"study_design_scores_gemma":[0.0009741875,0.000258167,0.003030624,0.00004724408,0.00001811934,0.000625578,0.0002228287,0.1694443,0.8129557,0.004545977,0.00745372,0.0004235725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8055549,0.0005716115,0.123198,0.0008102666,0.00486093,0.0001509935,0.000001385814,0.0002887897,0.06456311],"genre_scores_gemma":[0.950227,0.000003248392,0.04903513,0.00001710967,0.00009523544,0.000008918906,2.855288e-7,0.000003704617,0.0006093185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4298074,"threshold_uncertainty_score":0.2154366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006015196138224748,"score_gpt":0.2225687391337914,"score_spread":0.2165535429955667,"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."}}