{"id":"W2882983682","doi":"","title":"PDAC 2016: : Juniors trial alternative business models to tempt investors","year":2016,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Customer base; Value (mathematics); Business; Commerce; Marketing; Natural resource economics; Industrial organization; Environmental economics; Economics; Computer 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":[0.0007326408,0.0002295307,0.0004927212,0.0006127269,0.0001034223,0.0000701621,0.000358997,0.0002909376,0.0005587621],"category_scores_gemma":[0.0007533204,0.0001850331,0.00009760097,0.0008742202,0.00007702761,0.0005543898,0.00009154862,0.0001559527,0.001231306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665383,"about_ca_system_score_gemma":0.0001056544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840205,"about_ca_topic_score_gemma":0.00002533915,"domain_scores_codex":[0.9980189,0.00004014352,0.0009737633,0.0004691044,0.00007597484,0.0004220863],"domain_scores_gemma":[0.9987721,0.0001142818,0.0004379429,0.000376058,0.0001368628,0.0001627625],"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":[0.002212282,0.0001880992,0.0003559549,0.000003443475,0.00008816105,0.000004715351,0.0004628613,0.0004192398,0.0007239129,0.5190646,0.4728191,0.003657623],"study_design_scores_gemma":[0.03549396,0.0003516984,0.0001563066,0.00009550169,0.000008105922,0.000002256681,0.00002634862,0.00009939542,0.001310275,0.1025031,0.8592719,0.0006811714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758185,0.00007449322,0.003816462,0.02301248,0.007176519,0.001207941,0.0007259403,0.00009695538,0.08807071],"genre_scores_gemma":[0.8691102,0.00003786504,0.0003271366,0.002590132,0.006709469,0.0001552658,0.00002053945,0.00005868917,0.1209907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4165615,"threshold_uncertainty_score":0.9995463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2391665896958189,"score_gpt":0.2753738534998906,"score_spread":0.03620726380407169,"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."}}