{"id":"W4386268156","doi":"10.5751/es-14270-280311","title":"To split a stone","year":2023,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marcus och Amalia Wallenbergs minnesfond","keywords":"Coproduction; Transformative learning; Curiosity; Novelty; General partnership; Sustainability; Sociology; Environmental ethics; Political science; Ecology; Psychology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002099948,0.00005755446,0.0001160502,0.00003392881,0.0009940873,0.00002795911,0.0001033584,0.0001400309,0.0001360192],"category_scores_gemma":[0.0003778826,0.00005920835,0.00004826151,0.0005820744,0.0002676553,0.00007209511,0.00006954063,0.0001075245,0.0001234396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334981,"about_ca_system_score_gemma":0.0001517422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007281909,"about_ca_topic_score_gemma":0.002187246,"domain_scores_codex":[0.9990965,0.0001594285,0.0001327088,0.0001879173,0.0001176506,0.0003058172],"domain_scores_gemma":[0.9994972,0.000177835,0.00003194841,0.0001020203,0.0001277018,0.00006332656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004519914,0.00003580132,0.2361772,0.00004449947,0.00003618841,0.000004266914,0.2435666,0.00002210938,0.00003633145,0.3828402,0.1365141,0.0007181762],"study_design_scores_gemma":[0.000167269,0.0000450576,0.7755898,0.000002489821,0.000005082989,4.867416e-7,0.06098412,0.00007584793,0.000002858802,0.01467232,0.1483414,0.0001132896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975004,0.00001105769,0.00003193971,0.01244831,0.0004616567,0.0003285344,0.000002560264,0.0001605944,0.01155134],"genre_scores_gemma":[0.9829353,0.00001366111,0.0001347962,0.001062344,0.0002823999,0.00004485629,0.000005313153,0.000005450181,0.01551587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5394126,"threshold_uncertainty_score":0.7645816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920813785401623,"score_gpt":0.3423866666211578,"score_spread":0.3231785287671416,"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."}}