{"id":"W7020610085","doi":"","title":"Mine Rehabilitation and the Community: A Case Study from Canada","year":2003,"lang":"en","type":"article","venue":"UNSWorks (UNSW Sydney)","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Work (physics); MEDLINE; Government (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001359992,0.0001730135,0.00024218,0.00008612587,0.0005415984,0.0002035168,0.0004906624,0.00006611097,0.00003018134],"category_scores_gemma":[0.0007690847,0.0001303915,0.00004098851,0.0004938717,0.0001499785,0.0002709953,0.0001672063,0.0004716666,0.000003720681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009036573,"about_ca_system_score_gemma":0.0002071384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7366453,"about_ca_topic_score_gemma":0.731888,"domain_scores_codex":[0.9973037,0.001592745,0.0003055358,0.0002887178,0.0002875464,0.0002217943],"domain_scores_gemma":[0.9961302,0.002544335,0.0001080311,0.0009669916,0.0001356874,0.0001147637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002313913,0.003959613,0.1130223,0.0001522691,0.0008754462,0.007422428,0.1922699,0.00007325738,0.0001929495,0.1187524,0.06319255,0.4998555],"study_design_scores_gemma":[0.04097695,0.004851833,0.0479679,0.0009414438,0.0007848391,0.01062192,0.3053683,0.04270357,0.004523914,0.4727463,0.06267387,0.005839206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297529,0.0002115303,0.06550242,0.002042548,0.0002016241,0.0008079395,0.000007416439,0.0001963092,0.00127728],"genre_scores_gemma":[0.9728777,0.000007630086,0.02591934,0.0009678487,0.00002231396,0.00009900636,0.000003962705,0.00001227849,0.0000898895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4940162,"threshold_uncertainty_score":0.5317212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273038280699377,"score_gpt":0.2366539433620001,"score_spread":0.2239235605550064,"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."}}