{"id":"W3206296253","doi":"","title":"Sandfire Strikes Canadian-like Discovery","year":2009,"lang":"en","type":"article","venue":"Australia's Paydirt","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bandwagon effect; Price discovery; Join (topology); Business; Computer science; Data science; Political science; Finance; Law; Mathematics","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":[0.0000904094,0.000161892,0.0001417804,0.00009994958,0.00007772039,0.0001131313,0.0001252126,0.0001052646,0.0003433964],"category_scores_gemma":[0.00001124708,0.0001456111,0.00007598737,0.0001452083,0.00001462803,0.000336503,0.000003969164,0.0002430779,0.0003085472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009152086,"about_ca_system_score_gemma":0.00002520983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008758991,"about_ca_topic_score_gemma":0.009255016,"domain_scores_codex":[0.9991671,0.00001401798,0.0001779094,0.0001535594,0.0001268758,0.0003605187],"domain_scores_gemma":[0.9995449,0.00001374864,0.00001729844,0.0001871747,0.00001129289,0.000225577],"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":[0.00005092298,0.0001779,0.01252466,0.0001515039,0.0003219272,0.0004663707,0.0006303029,0.01333679,0.1728701,0.01252576,0.575478,0.2114657],"study_design_scores_gemma":[0.0005750597,0.0001136879,0.1546491,0.0000854265,0.00005491797,0.00007829767,0.0001901218,0.001276836,0.01692745,0.0006006181,0.8244472,0.001001331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702918,0.0002130383,0.000331107,0.0005067696,0.001373322,0.000141167,0.00004021307,0.0003448959,0.02675771],"genre_scores_gemma":[0.9894016,0.00004911267,0.0001747702,0.0003064742,0.0001820328,0.000002554804,0.00003108651,0.00001371566,0.009838685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489692,"threshold_uncertainty_score":0.9978418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510344675238136,"score_gpt":0.254903018329375,"score_spread":0.2297995715769937,"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."}}