{"id":"W6890014643","doi":"10.34675/l14969","title":"Exclusive option to purchase 100% interest in mineral claims near Mont Laurier, Quebec.","year":2019,"lang":"en","type":"article","venue":"RoyaltyStat Library","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Payment; Consumption (sociology); Earnings; Production (economics)","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":[0.00005982688,0.0001949797,0.0002267736,0.0001847727,0.00004156734,0.0007077517,0.0009387177,0.00008565165,0.0001688671],"category_scores_gemma":[0.000008785812,0.0001896476,0.00006385513,0.0003701396,0.00003123517,0.004589736,0.0009808587,0.0001472298,0.001364193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004215802,"about_ca_system_score_gemma":0.000162925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006377473,"about_ca_topic_score_gemma":0.0004160855,"domain_scores_codex":[0.9985759,0.00004578692,0.0003205768,0.0005613741,0.0001011268,0.0003951918],"domain_scores_gemma":[0.998894,0.00005086906,0.00006720546,0.0007161089,0.0000100375,0.0002617333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004248681,0.0008374472,0.03539645,0.0002373697,0.00005871462,0.0005401193,0.006223978,0.003875968,0.0008240744,0.5654048,0.1281997,0.2579765],"study_design_scores_gemma":[0.003136139,0.0009214781,0.04181093,0.0003833946,0.000006155427,0.0000392889,0.000311681,0.1591864,0.001538013,0.02286867,0.7682153,0.001582583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638475,0.0001527137,0.008000989,0.004040771,0.0006907571,0.0005561988,0.00006036082,0.0002097426,0.02244094],"genre_scores_gemma":[0.9586411,0.000007446889,0.01643136,0.00428659,0.0001261174,0.00004522742,0.0002182683,0.00003507621,0.02020888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6400156,"threshold_uncertainty_score":0.9994134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319255736692136,"score_gpt":0.2301607157415025,"score_spread":0.2069681583745811,"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."}}