{"id":"W2232733045","doi":"","title":"Hotelling with network externalities","year":2009,"lang":"en","type":"preprint","venue":"INRIA a CCSD electronic archive server","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Renewable energy; Externality; Network effect; Fossil fuel; Environmental economics; Natural resource economics; Resource (disambiguation); Renewable resource; Economics; Microeconomics; Business; Computer science; Engineering; Waste management","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003653524,0.0005881348,0.0008100907,0.0004785443,0.0004182675,0.0006977216,0.001816977,0.0002699975,0.0009432468],"category_scores_gemma":[0.0004450873,0.0004277428,0.0003205691,0.0009110429,0.0001908235,0.0002163819,0.0009137378,0.002094926,0.0002492075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792991,"about_ca_system_score_gemma":0.000899039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007888549,"about_ca_topic_score_gemma":0.001387477,"domain_scores_codex":[0.9934418,0.0005043783,0.001316096,0.001275929,0.002111611,0.001350145],"domain_scores_gemma":[0.9959686,0.0009445283,0.001062313,0.001345383,0.0005178875,0.0001612645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009925658,0.0001967828,0.005864518,0.00006373085,0.0003636416,0.0001084052,0.00375403,0.1419022,0.0001504113,0.7126678,0.02342066,0.1105152],"study_design_scores_gemma":[0.0006472546,0.000279046,0.005148158,0.0004139093,0.0000447602,0.00005485683,0.0001810594,0.03235099,0.00009326974,0.8814985,0.07852545,0.0007627317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7131926,0.001272373,0.2557451,0.00103158,0.000968741,0.0008416252,0.00004185015,0.0002827509,0.02662335],"genre_scores_gemma":[0.9838928,0.0001456248,0.00613727,0.002045342,0.001409655,0.0000441616,0.0001070931,0.00007045198,0.006147583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707002,"threshold_uncertainty_score":0.99997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185893532884634,"score_gpt":0.3303666342759856,"score_spread":0.2685076989471392,"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."}}