{"id":"W4285245105","doi":"10.2139/ssrn.4113694","title":"Fundraising Design in a Competitive Market","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Beneficiary; Archetype; Marketing; Business; Raising (metalworking); Conjoint analysis; Public relations; Economics; Microeconomics; Political science; Preference; Engineering; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004959889,0.0005065147,0.0005670659,0.0005011645,0.0007257575,0.002187049,0.001078551,0.001820783,0.00822614],"category_scores_gemma":[0.0168871,0.0002716476,0.000295956,0.0002993562,0.001198232,0.003117819,0.0008452112,0.0007182269,0.0007392629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006644201,"about_ca_system_score_gemma":0.0009858058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005095536,"about_ca_topic_score_gemma":0.0004025501,"domain_scores_codex":[0.9978042,0.001317583,0.00008478241,0.0003415229,0.000231572,0.0002202186],"domain_scores_gemma":[0.9866246,0.008860744,0.001482022,0.001254855,0.001043738,0.0007339896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.00643009,0.004192188,0.01014347,0.0007655477,0.0001723873,0.0006210296,0.003379683,0.07034365,0.02847224,0.5472407,0.004248847,0.3239901],"study_design_scores_gemma":[0.002768969,0.009985221,0.008848039,0.0001612521,0.0002994129,0.0005901245,0.002684311,0.4267115,0.01634856,0.5128345,0.01862582,0.0001422885],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7719713,0.0003396625,0.190255,0.001196686,0.0001146217,0.0005557439,0.00005243147,0.0002897258,0.03522475],"genre_scores_gemma":[0.9696767,0.0000611863,0.02450278,0.00004829027,0.00002599679,0.0001397176,0.00001293437,0.00001475089,0.00551767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00822614,"threshold_uncertainty_score":0.02751911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932928372783716,"score_gpt":0.3123179884759247,"score_spread":0.2829887047480875,"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."}}