{"id":"W7099014577","doi":"","title":"Reviewed by Rob Fensome Natural Resources Canada, Earth Sciences Sector","year":2004,"lang":"en","type":"article","venue":"","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Natural science; Natural resource; Natural (archaeology); Earth system science","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":[],"category_scores_codex":[0.0004544244,0.00007360629,0.0001024356,0.00004079031,0.001099354,0.00008644708,0.0001974826,0.000023178,0.002831768],"category_scores_gemma":[0.0004084835,0.00005657469,0.000021909,0.0007339442,0.0003537905,0.0001458899,0.00001732644,0.00007246465,0.000008335828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008302496,"about_ca_system_score_gemma":0.0007008046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8729314,"about_ca_topic_score_gemma":0.9886863,"domain_scores_codex":[0.9989371,0.00006791453,0.0001530291,0.0001714001,0.0004247149,0.0002458975],"domain_scores_gemma":[0.9995919,0.00006558323,0.0000621358,0.0000766919,0.0001457359,0.00005797252],"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":[0.000005989554,0.0001141803,0.02243982,0.00004907841,0.00005904223,0.000004874842,0.08985262,0.00001959429,0.0009921582,0.2649214,0.6135486,0.007992658],"study_design_scores_gemma":[0.000101841,0.00001103705,0.0084454,0.00002013451,0.000003198898,3.986557e-7,0.03605977,5.338633e-7,0.0002715895,0.000204353,0.9547542,0.0001275235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6906147,0.005890122,0.00001275232,0.04429121,0.001174578,0.000232873,0.000007595865,0.0001042306,0.2576719],"genre_scores_gemma":[0.9612447,0.0001971385,0.0005038703,0.004366605,0.0002951027,0.00000724263,0.000004019269,0.000003675555,0.03337763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3412057,"threshold_uncertainty_score":0.9980798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112378369099517,"score_gpt":0.3121944642626983,"score_spread":0.2910706805717032,"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."}}