{"id":"W2756106934","doi":"10.1007/978-3-319-54364-2_16","title":"Space Mining and Use of Space Natural Resources","year":2017,"lang":"en","type":"book-chapter","venue":"Space and society","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Space (punctuation); Exploit; Natural resource; Equity (law); Sustainable development; Corporate governance; Resource (disambiguation); Risk analysis (engineering); Business; Action (physics); Natural (archaeology); Environmental resource management; Environmental economics; Computer science; Political science; Geography; Economics; Computer security; Finance; Law","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":[0.0001117078,0.0002522219,0.0003407686,0.00001840349,0.0002805029,0.0001268665,0.0001330163,0.0001247141,0.00008211267],"category_scores_gemma":[0.00000391526,0.0002199868,0.0001477916,0.000009005739,0.00040971,0.0002013223,0.0001214223,0.0002739556,0.000003513489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000495997,"about_ca_system_score_gemma":0.00003816731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004149992,"about_ca_topic_score_gemma":0.00002926906,"domain_scores_codex":[0.999148,0.000008873672,0.0001202586,0.0003328894,0.0001786374,0.000211308],"domain_scores_gemma":[0.9992021,0.0001081728,0.0002693612,0.0002815503,0.00003781243,0.000101005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001340107,0.00006438525,0.4015393,0.0005956584,0.001696317,0.00003926077,0.05293573,0.00005390996,0.001990029,0.2608323,0.2192172,0.06090198],"study_design_scores_gemma":[0.0006846354,0.0001582262,0.02534014,0.0006148121,0.0002540575,0.000009249318,0.003785443,0.001074104,0.0001261892,0.002123629,0.9647762,0.001053269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4664282,0.004588242,0.0002244076,0.00136208,0.0005737639,0.0005229078,0.0007240947,0.00005150441,0.5255248],"genre_scores_gemma":[0.396257,0.0002922655,0.004619794,0.00004151863,0.0003512983,9.301241e-7,0.00006233671,0.00002219371,0.5983526],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7455591,"threshold_uncertainty_score":0.89708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434099345534493,"score_gpt":0.2121534099037997,"score_spread":0.1978124164484548,"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."}}